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BlockWar Design Brief

Quick Navigation:

Procedural Generation Strategy - Key Technical Decision: UE5-native procedural generation with unit testing
Project Overview - Game concept and goals
Core Game Concept - Gameplay mechanics
CI/CD Pipeline - Automated testing and deployment

Project Naming Recommendations

Current Name Analysis

BlockWar is functional but has some limitations:

Heavily ties the project to Unreal Engine (what if we port later?)
Generic and not particularly memorable
Doesn't convey the unique build-combat dynamic
May cause confusion with similar "fort" games (Fortnite, etc.)

Recommended Names

Top Tier Recommendations:

BlockWar ⭐ RECOMMENDED
- Pros: Short, memorable, combines "block" (building) and "war" (combat)
- Cons: None significant
- Domain: blockwar.com available, blockwar.gg available
- Branding: Strong, clean, professional
Construct & Conquer
- Pros: Clearly conveys both gameplay phases, alliterative
- Cons: Longer name, might be abbreviated to "C&C" (Command & Conquer conflict)
- Domain: constructandconquer.com available
- Branding: Descriptive, strategic feel
Blockade
- Pros: Single word, relates to blocking/building and defending
- Cons: Might imply defensive-only gameplay
- Domain: blockade.com likely taken (alternative: playblockade.com)
- Branding: Strong, military feel
Bastion Protocol
- Pros: Sounds tactical and military, "bastion" implies fortification
- Cons: Two words, "protocol" is overused in gaming
- Domain: bastionprotocol.com available
- Branding: Modern, tactical, sci-fi feel
FortCraft
- Pros: Combines fortification with crafting/building
- Cons: "Craft" might imply survival/crafting game
- Domain: fortcraft.com status unknown
- Branding: Casual, accessible

Alternative Creative Names:

Gridlock Warfare
- Play on "grid" (building blocks) and "gridlock" (combat choke points)
Bulwark
- Single word meaning defensive wall/fortification
- Strong, memorable, military
ConstructOps
- Combines "construction" and "operations"
- Modern military feel
Foundry
- Place where things are built/forged
- Short, memorable, industrial aesthetic matches
Rampart
- Defensive fortification term
- Strong single word

Playful/Casual Options:

Block & Battle
- Clear gameplay description
- Alliterative and catchy
FortSmith or FortForge
- Implies creating/building forts
- Easy to remember

Final Recommendation

BlockWar is the strongest choice because:

✅ Short and memorable (two syllables)
✅ Clearly conveys both core mechanics (blocks = building, war = combat)
✅ Professional and brandable
✅ Domain availability is good
✅ No trademark conflicts
✅ Works internationally (simple English words)
✅ Easy to say and spell
✅ Flexible branding (BlockWar logo, BlockWar.gg community site, etc.)
✅ Can be stylized as "BLOCKWAR" or "Block War" depending on context

Repository Name: blockwar or block-war
Game Title: BlockWar
Marketing Tag: "BlockWar: Build. Battle. Conquer."

Project Overview

Project Name: BlockWar (formerly BlockWar)
Type: Original Game Concept
Target Engine: Unreal Engine 5
Original Inspiration: Classic Half-Life 2 community mods featuring fort building and combat
Genre: Team-Based FPS with Base Building Mechanics

Purpose

BlockWar is an original multiplayer FPS game built in Unreal Engine 5 that combines tactical base construction with team-based combat. Inspired by the legacy of innovative Half-Life 2 community mods that merged building mechanics with competitive gameplay, this project aims to deliver a unique blend of creative engineering and strategic combat while leveraging modern UE5 capabilities.

Core Game Concept

BlockWar combines two distinct gameplay phases in a cyclical match structure:

Build Phase: Teams collaboratively construct fortifications using physics-based building blocks
Combat Phase: Teams engage in FPS combat, attempting to capture the enemy's flag while defending their own

This alternating structure creates a unique gameplay loop that rewards both creative engineering and skilled combat.

Game Mechanics

1. Phase System

Build Phase

Duration: Configurable (typically 2-5 minutes)
Objective: Construct defensive fortifications and strategic structures
Rules:
- All weapons are disabled during this phase
- Teams are typically separated to their respective spawn zones
- Players can only build on their designated half of the map
- Physics manipulation tools are enabled
- Blocks can be spawned, moved, rotated, and frozen in place

Combat Phase

Duration: Configurable (typically 3-7 minutes)
Objective: Capture the enemy flag while defending your own
Rules:
- All weapons and combat abilities are enabled
- Players can freely move across the entire map
- Building tools are disabled (or limited to repairs in some variants)
- Flag must be physically transported using physics manipulation
- Fortifications can be damaged or destroyed

Phase Transitions

Automated timer-based transitions between phases
Round cycles: Build → Combat → Build → Combat (repeating)
Teams may repair and modify fortifications between combat rounds
Score is tracked across multiple rounds

2. Building System

Block Types

Standard Cube Blocks: Primary building element in various sizes
Panel Blocks: Flat surfaces for walls, floors, and ceilings
Metal Blocks: Durable construction materials
Variants: Different sizes and potentially materials (small, medium, large)

Building Mechanics

Physics Manipulation Tool: Primary building interface (gravity gun equivalent)
- Pick up and move blocks
- Rotate blocks in 3D space
- Precisely position blocks
Freeze System:
- Blocks can be "frozen" to anchor them in place
- Frozen blocks become static and don't respond to physics
- Prevents accidental displacement
- Critical for structural stability
Welding/Snapping: Optional system to connect blocks together
Block Limits: Server-configurable limits to prevent performance issues
Building Constraints:
- Collision detection prevents overlapping blocks
- Physics stability limits on extreme structures
- Potential height/distance limits from spawn

Strategic Building Elements

Defensive Walls: Block enemy movement and projectiles
Sniper Towers: Elevated positions for long-range combat
Bridges: Connect areas or create tactical pathways
Bunkers: Protected firing positions
Mazes: Confuse and delay enemy flag carriers
Choke Points: Force enemies into kill zones
Hidden Passages: Secret routes for flag runners

3. Combat System

Player Classes

Multiple class archetypes with distinct roles:

Soldier
- Standard rifle and grenades
- Balanced combat effectiveness
- Medium movement speed
Scout
- Lightweight weapons (SMG, pistol)
- Fast movement speed
- Ideal for flag running
Rocketeer
- Rocket launcher
- Specializes in destroying fortifications
- Slow movement speed
- High explosive damage to structures
Sniper
- Long-range precision rifle
- Effective from defensive positions
- Low health
- Scope for distant targets
Builder (Optional)
- Gravity gun/physics tool
- Can repair structures during combat
- Limited combat capability
- Support role

Weapons

Based on class selection, including:

Assault Rifles
SMGs
Rocket Launchers
Sniper Rifles
Grenades (frag, sticky)
Pistols (sidearms)
Physics Gun (builder class)

Destructible Environment

Blocks can be damaged by weapons
Explosive weapons deal area damage to structures
Blocks can be "unfrozen" by damage, returning to physics simulation
Strategic destruction creates new paths or collapses defenses

4. Capture the Flag System

Flag Mechanics

Flag as Physics Object: The flag is represented as a physical ball/object
Physics-Based Capture: Players must physically move the flag using:
- The physics manipulation tool (gravity gun)
- Carrying mechanics (player holds the flag)
- Throwing/passing between teammates
Flag States:
- At home base (defended position)
- In transit (being carried by player)
- Dropped (on ground, can be recovered)
- Captured (returned to capturing team's base)

Scoring

Points awarded for successful flag captures
Additional points for kills, defensive actions
Win conditions: Most points at end of round, or first to X captures

5. Teams

Team Structure

Two Teams:
- Team 1: Combine (or equivalent faction)
- Team 2: Rebels (or equivalent faction)
Team Size: Configurable (typically 4v4 to 16v16)
Team Communication: Voice chat and text chat essential
Team Roles: Players naturally specialize in building, attacking, or defending

Teamwork Requirements

Coordinated fort construction
Defensive positioning
Organized attacks
Flag carrier support
Communication of enemy positions

Technical Considerations for UE5

Physics System

Chaos Physics Engine: UE5's built-in physics for block dynamics
Networked Physics: Ensure multiplayer synchronization of block positions
Physics Optimization:
- Frozen blocks become static meshes (no physics calculation)
- Dynamic blocks only during build phase or when damaged
- LOD system for distant structures
- Culling of non-visible blocks

Building Tool Implementation

Physics Handle: UE5 physics constraint system for object manipulation
Placement System: Snap-to-grid option or free placement
Rotation Controls: Smooth or incremental rotation options
Visual Feedback: Highlight valid/invalid placement positions
Undo System: Allow players to undo recent placements

Networking

Replication:
- Block positions and states must be replicated
- Phase changes synchronized across all clients
- Flag position and carrier state
Authority: Server-authoritative for anti-cheat
Optimization:
- Batch block updates during build phase
- Delta compression for block states
- Relevancy filtering for distant players

Performance Optimization

Block Pooling: Reuse block actors to reduce spawning overhead
Instanced Static Meshes: When blocks are frozen
Level of Detail (LOD): Multiple mesh detail levels
Occlusion Culling: Hide blocks behind walls
Draw Call Batching: Minimize rendering overhead

User Interface

Build Phase HUD:
- Block selection menu
- Rotation controls indicator
- Freeze/unfreeze status
- Time remaining in phase
- Block count remaining
Combat Phase HUD:
- Health and armor
- Weapon and ammo
- Team scores
- Flag status indicator
- Minimap showing flag locations
- Class indicator
Scoreboard: Kill/death ratios, captures, building contributions

Map Design Principles

Layout Requirements

Symmetrical Design: Balanced spawn zones for both teams
Build Zones: Designated areas where building is allowed
Neutral Territory: Central contested area between bases
Flag Spawn Locations: Protected starting positions for flags
Height Variation: Multiple elevation levels for tactical depth
Cover Opportunities: Pre-existing map geometry for tactical positioning

Map Elements

Spawn Rooms: Protected team starting areas
Building Floors: Flat surfaces to build from
Natural Cover: Rocks, walls, structures
Strategic Points: Elevated positions, narrow passages
Hazards: Optional environmental dangers (lava, pits, etc.)

Example Map Concepts

uf_valley: Open valley with high cliffs on sides
uf_rooftop: Elevated rooftops with gaps between buildings
uf_abandon: Industrial/urban setting with building ruins
uf_reservoir: Water-based map with platforms

Game Modes

Primary Mode: Capture the Flag (CTF)

Classic build-combat cycle
Two flags, one per team
Winner is first to capture limit or highest score at time limit

Potential Additional Modes

Capture Points: Hold strategic locations instead of flags
King of the Hill: Build around and control a central point
Destruction: Destroy enemy structures or key objectives
Pure Combat: Remove build phase entirely (for quick matches)
Extended Build: Longer build phase for elaborate constructions

Player Progression and Retention

Match-Based Systems

End of Round Statistics: Kills, deaths, captures, blocks placed
MVP Awards: Best builder, best attacker, best defender
Team Highlights: Replay of best flag capture or defensive play

Long-Term Systems (Optional)

Player Levels: Track overall experience
Unlocks: Cosmetic items, player skins, weapon skins, block textures
Achievements: Special accomplishments (first capture, building feats)
Custom Fort Blueprints: Save and share fort designs

Art Direction

Overall Artistic Vision

BlockWar embraces a near-future industrial military aesthetic that balances tactical realism with visual clarity. The art style prioritizes gameplay readability while delivering immersive, atmospheric environments that feel grounded and believable. Think of it as a fusion of contemporary military shooters with sci-fi industrial design—functional, modular, and purpose-built for combat.

Core Pillars:

Clarity First: All visual elements must support gameplay readability
Modular Industrial Design: Everything feels manufactured and utilitarian
Tactical Realism: Grounded in plausible near-future military technology
Team Distinction: Clear visual language separates teams without confusion
Dynamic Feedback: Visual and audio cues provide constant gameplay information

Visual Style Guide

Color Palette

Primary Team Colors:

Team Alpha (Red/Orange Team):
- Primary: Deep Crimson (#8B1A1A) to Burnt Orange (#CC5500)
- Secondary: Dark Gray (#3A3A3A) with red undertones
- Accent: Bright Warning Orange (#FF6600) for UI highlights
- Emissive: Warm amber glow (#FFB366) for holographic elements
Team Beta (Blue/Cyan Team):
- Primary: Naval Blue (#1A3A8B) to Cyan (#0088CC)
- Secondary: Cool Steel Gray (#4A4A52)
- Accent: Electric Blue (#00CCFF) for UI highlights
- Emissive: Cool cyan glow (#66D9FF) for holographic elements

Neutral Colors:

Base Metal: Brushed steel (#6B7280) with subtle color temperature shifts
Concrete: Weathered gray (#8B9098) with dirt and wear
Environment: Desaturated earth tones for maps (browns, greens, grays)

Functional Colors:

Frozen Block State: Slight blue-white shimmer overlay
Unfrozen/Active Block: Subtle orange-red heat shimmer
Damage States: Progressive darkening with orange-red heat damage
Objective Markers: High-contrast yellow (#FFD700) for flags and objectives

Building Block Design

Visual Identity:

Form Language: Chunky, modular, industrial panels and cubes
Surface Details:
- Rivets, bolts, and weld seams at corners and edges
- Panel lines suggesting manufactured construction
- Subtle embossed labeling (serial numbers, warning symbols)
- Grip texture patterns on surfaces
Material Properties:
- Primary: Brushed or matte metal (steel, titanium alloys)
- Roughness variation for visual interest (0.4-0.7 roughness range)
- Subtle metallic sheen without being mirror-like
- Dirt, scuff, and wear accumulated at edges and high-traffic areas
Scale Differentiation:
- Small blocks: Hand-sized (0.5m cubes)
- Medium blocks: Torso-height (1m cubes)
- Large blocks: Full cover (2m cubes and 2m x 4m panels)
- Consistent visual language across all sizes

State Visualization:

Frozen State:
- Subtle ice-blue edge glow (emissive)
- Small holographic "lock" icon appears on surface
- Slight color desaturation
- Minimal specular highlights (solid and stable)
Unfrozen/Dynamic State:
- Warmer color temperature
- Pulsing orange edge highlight
- More pronounced specular highlights (active physics)
- Subtle floating particle effects around edges
Damaged State:
- Progressive deformation (dents, cracks)
- Exposed inner structure (mesh, wiring)
- Heat/burn marks around damage points
- Sparking particle effects for severe damage
Destruction:
- Fragments break along logical seams
- Inner structural elements revealed (girders, cables)
- Dramatic particle burst with metal shards
- Smoke and heat distortion effects

Character and Player Design

Player Models:

Silhouette: Distinct class silhouettes for instant recognition
- Soldier: Balanced, medium bulk, helmet with visor
- Scout: Lean, lightweight armor, streamlined profile
- Rocketeer: Heavy, broad shoulders, large backpack
- Sniper: Tall, angular, ghillie/camo elements
- Builder: Utility vest, tool harness, work gloves visible
Armor Style:
- Tactical modular armor plates over combat suits
- Near-future military tech (think 2040s special forces)
- Visible pouches, equipment, and utility items
- Helmet designs with HUD visors and comm gear
Team Identification:
- Armor color: Primary team color on shoulders, chest, and helmet
- Emissive highlights: Team-colored lights on helmet and backpack
- Fabric/undersuit: Team color with weathering
- Clear from all angles and distances

First-Person View:

Visible arms and gloves in team colors
Weapon held in view with tactile, grounded animation
Physics tool shows holographic projection and targeting reticle
HUD elements integrated into "helmet visor" aesthetics

Weapon Design

Style Guidelines:

Form: Near-future military weapons with recognizable real-world influences
Materials:
- Matte black polymer furniture
- Gunmetal gray or dark steel receivers
- Bronze/copper for shell casings and barrel details
Details:
- Rail systems for attachments
- Visible magazines and mechanical parts
- Holographic sights with team-colored reticles
- Weathering and wear on high-use areas (grip, charging handle)
Animation:
- Weighty, realistic recoil
- Smooth reloads with visible mechanical actions
- Tactical handling (magazine checks, bolt releases)

Per-Class Weapon Aesthetics:

Assault Rifles: Bullpup or carbine style, balanced and modern
SMGs: Compact PDW design with folding stocks
Rocket Launchers: Large tube-style with exposed warheads
Sniper Rifles: Long-barreled precision platform with advanced optics
Physics Gun: Futuristic gravity manipulation device
- Glowing energy core (team colored)
- Animated graviton beam effect
- Holographic targeting display
- Mechanical pistons and actuators

Environment and Map Aesthetics

Setting Themes:

Industrial Complexes: Factories, refineries, warehouses
Military Installations: Bases, compounds, training facilities
Urban Warfare: City blocks, rooftops, urban decay
Natural Terrain: Valleys, canyons, forests (with industrial elements)

Visual Treatment:

Lighting:
- Dramatic use of contrast (shadows vs bright areas)
- Volumetric fog for atmosphere
- Colored accent lighting (warning lights, emergency lighting)
- Dynamic time-of-day variations for replayability
Architecture:
- Modular industrial construction
- Brutalist concrete and steel framework
- Functional design (catwalks, pipes, machinery)
- Believable scale and proportions
Props and Details:
- Shipping containers, crates, barrels
- Industrial machinery and equipment
- Warning signage and hazard markings
- Scattered debris suggesting recent activity
Weathering and Age:
- Rust on metal surfaces
- Concrete cracking and staining
- Overgrown vegetation in appropriate areas
- Accumulated dirt in corners and low traffic areas

Optimization Considerations:

Modular asset library for efficient level construction
LOD systems with 3-4 detail levels per asset
Shared material instances for performance
Texture atlasing where appropriate

User Interface Design

HUD Philosophy:

Minimalist and non-intrusive during gameplay
Information appears when contextually relevant
Diegetic elements (in-world displays) where possible
Clean typography with excellent readability

Build Phase HUD:

Block Selection Menu:
- Semi-transparent panel in corner
- 3D preview thumbnails of blocks
- Grid layout with category tabs
- Selected block highlighted with team color
Block Placement Indicator:
- Holographic ghost preview of block at placement location
- Green = valid placement, Red = invalid
- Snap points shown as glowing nodes
- Rotation angle indicator (circular arc display)
Status Display:
- Blocks remaining: Counter with icon
- Freeze tool status: Icon showing current mode
- Phase timer: Large, clear countdown
- Team block count comparison bar

Combat Phase HUD:

Health and Armor:
- Segmented bars in corners
- Team color highlights when damaged
- Regeneration feedback with pulse animation
Weapon Info:
- Ammo counter (large, readable numbers)
- Weapon icon with damage state
- Reload indicator (progress arc)
Objective Status:
- Flag locations: 3D markers in world space
- Minimap: Top corner with simplified tactical view
- Team scores: Minimal display at top center
- Kill feed: Right side with icons and team colors
Crosshair:
- Dynamic crosshair adapting to weapon type
- Team-colored center dot
- Hit confirmation feedback (color flash, expansion)

Menu Screens:

Dark backgrounds with team color accents
Card-based layouts for options
Large, readable fonts (military stencil inspired)
Subtle animated backgrounds (industrial scenes)
Consistent iconography throughout

Visual Effects (VFX)

Particle Systems:

Block Placement:
- Energy ripple emanating from placement point
- Brief spark shower for metal-on-metal contact
- Dust puff at ground contact
- Sound-synchronized visual beats
Block Destruction:
- Metal fragments with physics
- Ember and spark shower
- Smoke plume (dark gray)
- Screen shake for nearby players
Weapon Impacts:
- Bullet impacts: Spark burst with small debris
- Explosions: Fire ball with expanding smoke ring
- Energy weapons: Dissipating energy burst
Physics Gun Effects:
- Beam from gun to target object
- Energy particle flow along beam
- Pulsing glow on held object
- Distortion effect around manipulation field

Post-Processing:

Subtle color grading (slightly desaturated with contrast)
Lens effects (minimal chromatic aberration, dirt on lens)
Motion blur (per-object for fast movements)
Depth of field (slight blur for distant objects)
Bloom (controlled, for emissive elements only)

Audio Design

Sound Design Philosophy:

Realistic weapon and impact sounds grounded in real-world audio
Clear audio cues for all gameplay-critical events
Spatial audio for tactical awareness (footsteps, gunfire direction)
Distinct team-specific audio signatures

Build Phase Audio

Block Manipulation:
- Pickup: Metallic clank with weight-appropriate resonance
- Movement: Low hum from physics tool, pitch varies with object mass
- Rotation: Servo motor whirr
- Placement: Solid "thunk" with brief reverb
- Freeze: Satisfying "click-lock" with crystalline shimmer
- Unfreeze: Mechanical release "clack" with hiss
Ambient Sounds:
- Background construction noises from both teams
- Tool sounds echoing across the map
- Distant metal clanging and placement
- Phase timer warning beeps (last 30 seconds)
UI Sounds:
- Block selection: Soft beep
- Menu navigation: Click and hover sounds
- Invalid action: Negative buzzer

Combat Phase Audio

Weapon Sounds:
- Each weapon has unique firing signature
- Realistic mechanical sounds (bolt, magazine, charging handle)
- Shell casings hitting ground (clinking)
- Distant gunfire has muffled, echoing quality
Impact and Destruction:
- Bullet impacts: Sharp crack with metallic ring
- Block damage: Progressive cracking, groaning metal
- Block destruction: Loud crash with echoing debris
- Explosions: Deep bass rumble with high-frequency crack
Character Audio:
- Footsteps vary by surface (metal grating, concrete, dirt)
- Landing from jumps (weight-dependent impact)
- Breathing (heavy when low on stamina)
- Voice lines (callouts, orders, celebrations)
Objective Audio:
- Flag pickup: Energetic acquisition sound
- Flag capture: Triumphant team-specific chime
- Flag drop: Warning tone
- Phase transition: Loud alarm/klaxon

Spatial Audio:

3D positional audio for tactical gameplay
HRTF (Head-Related Transfer Function) for precise directionality
Occlusion: Sounds muffled when behind walls/blocks
Reverberation zones for indoor vs outdoor spaces
Distance attenuation based on environment

Music and Ambience

Build Phase Music:
- Tempo: 90-100 BPM (measured, thoughtful)
- Instrumentation: Synth pads, electronic percussion, industrial samples
- Mood: Tense anticipation, focused concentration
- Dynamic: Builds intensity as timer counts down
Combat Phase Music:
- Tempo: 140-160 BPM (energetic, driving)
- Instrumentation: Heavy electronic beats, distorted synths, aggressive bass
- Mood: Intense action, adrenaline
- Dynamic: Intensity spikes during objective captures
Menu Music:
- Atmospheric, ambient electronic
- Reflective of game's industrial aesthetic
- Non-intrusive, allowing players to focus on options

Adaptive Audio:

Music intensity scales with match tension
Sound mix adjusts based on phase (build vs combat)
Proximity to objectives affects music layers
Low health triggers audio filters (muffled, heartbeat)

Animation and Motion

Character Animation:

Movement:
- Realistic weight and momentum
- Class-specific run speeds reflected in animation
- Tactical stances (crouching, prone, leaning)
- Transition animations are snappy but grounded
Combat:
- Weapon-specific reload animations
- Recoil affects upper body and camera
- Hit reactions (direction-based flinching)
- Death animations (ragdoll with momentum preservation)
Building:
- Two-handed physics tool grip
- Body leans when manipulating heavy objects
- Head tracks held object
- Placement gesture (release and step back)

Block and Object Animation:

Smooth interpolation when moved by physics tool
Natural tumbling when unfrozen
Destruction animations fragment along logical seams
Settling micro-movements when placed

UI Animation:

Menu transitions: Smooth slides and fades (200-300ms)
HUD updates: Number counting animations
Objective markers: Pulse and bob in 3D space
Notification pop-ins: Quick scale and fade

Technical Art Specifications

Target Performance:

60+ FPS on mid-range gaming PCs (1080p)
4K support with dynamic resolution scaling
Consistent frame times (no hitching)

Material System:

Physically Based Rendering (PBR) workflow
Master materials with instances for variations
Parameter-driven team colors and wear states
Parallax occlusion for surface detail on hero assets

Lighting:

Dynamic lighting for gameplay-critical elements
Baked lightmaps for static environment
Light probes for dynamic objects
Lumen or alternative GI for realistic bounce light

Texture Resolution:

Hero assets (weapons, characters): 2K-4K textures
Building blocks: 1K-2K with tiling detail maps
Environment: Varied based on importance (512-4K)
UI elements: Vector where possible, high-res raster for icons

Polycount Targets:

Characters: 25K-40K triangles (LOD0)
Weapons: 10K-20K triangles
Building blocks: 500-2K triangles (depends on size)
Environment props: Highly variable, budgeted per scene

Reference and Inspiration

Visual References:

Titanfall 2: Industrial aesthetic, clean UI, modular design
Battlefield series: Military realism, destruction, team identification
Apex Legends: Character silhouettes, visual clarity, color coding
Modern Warfare (2019): Weapon detail, audio design, tactical feel
Mirror's Edge: Clean color-coded environments, minimalist HUD

Architectural References:

Brutalist architecture
Industrial complexes and factories
Modern military bases
Modular construction systems

Avoid:

Overly stylized cartoon aesthetics
Muddy, dark visuals that obscure gameplay
Excessive visual noise and clutter
Confusing or ambiguous team identification

Accessibility and Learning Curve

Tutorial System

Interactive Tutorial: Teach building mechanics step-by-step
Practice Mode: Offline mode to experiment with building
Tooltips: In-game hints for new players

Difficulty Scaling

Simple Blocks: Easy to learn basic construction
Skill Ceiling: Advanced building techniques for experienced players
Class Variety: Different playstyles accommodate various skill levels

Community Features

Server Browser: Find and join community servers
Private Matches: Host custom games
Spectator Mode: Watch matches in progress
Replay System: Review and share epic moments

Customization

Server Settings:
- Adjustable phase timers
- Block limits
- Class restrictions
- Weapon balance tweaks
Workshop/Modding Support: Allow community-created maps and content
Custom Maps: Map editor or import system

Procedural Generation Strategy

Decision: UE5-Native Procedural Generation with Unit Testing

Confirmed Approach: BlockWar will implement procedural generation directly within Unreal Engine 5 using its native tools (PCG Framework, Blueprints, C++, Python, and Geometry Script). This approach enables comprehensive unit testing while maintaining tight integration with the engine.

Key Benefits:

✅ Unit testable: Python scripts and C++ code can be unit tested outside the editor
✅ Editor integration: Content generation happens in UE5 using native tools
✅ Performance: Generated content uses UE5's optimized systems
✅ Maintainable: Changes to generation logic are automatically tested via CI/CD
✅ Flexible: Mix of editor-time and runtime generation as needed

Overview

BlockWar will leverage procedural generation extensively to create a maintainable, testable, and scalable codebase. By generating content programmatically rather than manually creating assets, we gain several key advantages:

Testability: Procedural generation enables comprehensive unit testing of game content
Consistency: Algorithmic generation ensures visual and functional consistency
Iteration Speed: Parameters can be tweaked without manual asset recreation
Scalability: Easy to generate variations and expand content library
Simulation: Game mechanics can be simulated and validated before runtime

UE5 Procedural Generation Tools

Primary Tools:

Procedural Content Generation (PCG) Framework: UE5's native PCG system for level generation
Blueprints: Visual scripting for procedural logic and content generation
C++ Code: Performance-critical generation and complex algorithms
Python Scripts: Content pipeline automation and batch generation
Geometry Script: Runtime and editor-time geometry generation
Houdini Engine: Advanced procedural workflows (optional integration)

Procedurally Generated Content

1. Building Blocks

Generation Approach: All building blocks will be procedurally generated using parametric definitions.

Block Parameters:

BlockDefinition:
  - Type: [Cube, Panel, Beam, Corner]
  - Size: [Small, Medium, Large] or custom dimensions (x, y, z)
  - Material: [Steel, Titanium, Composite]
  - Detail Level: [Low, Medium, High] for LOD generation
  - Wear Amount: [0.0 - 1.0] for weathering variation
  - Team Color Support: Boolean

Generation Process:

Base Geometry: Generate core mesh using Geometry Script
- Cubes: 6 faces with edge bevels
- Panels: Optimized single-plane with frame
- Custom shapes: Algorithm-based vertex placement
Surface Details: Add procedural features
- Rivet placement at edges (spacing algorithm)
- Panel lines (subdivision pattern)
- Grip texture (noise-based displacement)
- Warning labels (decal placement rules)
UV Generation: Automatic UV unwrapping with consistent texel density
LOD Generation: Automatic mesh simplification for LOD0-3
Collision: Generate simplified collision meshes
Material Assignment: Apply master material instances with parameters

Benefits:

Generate hundreds of block variations from single definition
Easy to adjust proportions and details globally
Consistent style across all blocks
Automated LOD and collision generation
Unit testable: Verify mesh validity, collision accuracy, material assignment

Testing Approach:

# Example unit test for block generation
def test_cube_block_generation():
    block = generate_block(BlockType.CUBE, size=1.0)
    assert block.vertex_count == expected_vertex_count
    assert block.has_valid_uvs()
    assert block.collision_is_convex()
    assert block.lod_count == 4
    assert block.material_slots == 1

2. Map Layouts

Procedural Map Generation: While curated maps provide the best competitive balance, procedural generation can create:

Practice maps for testing building techniques
Varied layouts for casual play
Base templates that level designers refine

Map Generation Parameters:

MapDefinition:
  - Size: [Small, Medium, Large] (actual dimensions)
  - Symmetry: Axis for team balance
  - Terrain: [Flat, Valley, Hills, Urban]
  - Build Zone Size: Area allocated to each team
  - Cover Density: Amount of pre-placed cover
  - Height Variation: Vertical complexity
  - Prop Density: Environmental detail objects

Generation Process:

Layout Grid: Generate spatial partition for team zones
Terrain: Create base geometry using height maps or noise functions
Spawn Points: Calculate optimal positions using spatial algorithms
Build Floors: Place flat construction surfaces
Cover Elements: Distribute props using Poisson disc sampling
Lighting: Place light sources based on visibility analysis
Optimization: Generate navmesh, occlusion volumes, and LOD distances

UE5 PCG Integration:

Use PCG Graph to define generation rules
Biome-based prop distribution
Density controls for performance optimization
Rule-based placement ensures playability

Testing Approach:

def test_map_symmetry():
    map_data = generate_map(MapDefinition(symmetry=Axis.X))
    assert map_data.is_symmetric(axis=Axis.X, tolerance=0.01)
    assert map_data.spawn_points[0].distance_to_center() == \
           map_data.spawn_points[1].distance_to_center()

3. Weapons and Props

Procedural Weapon Generation:

Base weapon mesh generated from parametric definitions
Attachment points calculated programmatically
Animation rigs generated from bone placement rules
Weapon stats derived from balance formulas

Weapon Parameters:

WeaponDefinition:
  - Class: [AssaultRifle, SMG, Sniper, Launcher]
  - Barrel Length: Float (affects accuracy, velocity)
  - Magazine Size: Int (affects reload time)
  - Caliber: Float (affects damage, recoil)
  - Fire Rate: Float (rounds per minute)
  - Attachment Slots: List of rail positions

Generation Benefits:

Rapid weapon prototyping
Consistent visual style
Automatic balance testing
Easy to create variants

Testing Approach:

def test_weapon_damage_falloff():
    rifle = generate_weapon(WeaponClass.ASSAULT_RIFLE)
    damage_curve = rifle.calculate_damage_curve()
    assert damage_curve.at_distance(0) == rifle.base_damage
    assert damage_curve.at_distance(100) < rifle.base_damage
    assert damage_curve.is_monotonic_decreasing()

4. Materials and Textures

Procedural Materials:

Master materials with extensive parameter controls
Substance Designer integration for texture generation
Runtime material parameter modifications

Material Generation:

MaterialDefinition:
  - Base Color: RGB or texture
  - Roughness: Value or map
  - Metallic: Value or map
  - Normal Strength: Float
  - Wear Pattern: Procedural or texture
  - Team Color Mask: Grayscale mask for tinting
  - Detail Normal: Tiling detail texture

Substance Integration:

Generate texture sets from procedural graphs
Parameters expose: wear, dirt, rust, damage
Batch generation for variations
Version control friendly (graphs, not large files)

Testing:

def test_material_team_tinting():
    material = generate_team_material(team=TeamAlpha)
    assert material.get_parameter('TeamColor') == TEAM_ALPHA_COLOR
    assert material.has_valid_texture_channels()

5. UI Elements

Procedural UI Generation:

HUD elements sized and positioned programmatically
Resolution-independent layouts
Theme-driven color schemes

UI Generation:

Widget blueprints created from data definitions
Automatic layout using constraint systems
Font sizes calculated from resolution and viewing distance
Icon generation from vector definitions

Testing:

def test_hud_scaling():
    hud = generate_hud(resolution=(1920, 1080))
    assert hud.readability_score() > 0.8
    assert hud.fits_safe_area()
    
    hud_4k = hud.scale_to(resolution=(3840, 2160))
    assert hud_4k.element_sizes_proportional_to(hud)

Game Mechanics Simulation

Simulation Framework

Beyond asset generation, we can simulate actual game mechanics to validate design decisions before implementation.

Simulation Capabilities:

1. Physics Simulation

Block Stability Testing:

Simulate block stacking and stability
Test maximum unsupported spans
Validate collision behavior
Measure performance impact of complex structures

class BlockPhysicsSimulation:
    def test_tower_stability(self, height: int):
        """Simulate a tower of blocks to find collapse height"""
        tower = []
        for i in range(height):
            block = spawn_block(position=(0, 0, i * BLOCK_SIZE))
            tower.append(block)
            if not self.run_physics_step(duration=2.0):
                return False  # Tower collapsed
        return True  # Stable
    
    def test_bridge_span(self, span: float):
        """Test maximum unsupported bridge length"""
        # Place support blocks at ends
        # Add bridge panels between
        # Simulate physics with weight
        return calculate_max_stable_span()

Applications:

Determine safe building constraints
Set block limits before performance degrades
Validate frozen vs unfrozen states
Test destruction propagation

2. Combat Mechanics Simulation

Weapon Balance Testing:

Simulate engagement scenarios
Calculate time-to-kill (TTK) for different ranges
Test damage falloff curves
Validate hit detection

class CombatSimulation:
    def simulate_engagement(self, attacker_class, defender_class, range_m):
        """Simulate 1v1 combat encounter"""
        attacker = create_player(attacker_class)
        defender = create_player(defender_class)
        
        # Calculate hits based on accuracy at range
        hits_to_kill = defender.health / attacker.weapon.damage_at_range(range_m)
        time_to_kill = hits_to_kill / attacker.weapon.fire_rate
        
        # Account for defender's ability to retreat/return fire
        defender_can_escape = defender.move_speed * time_to_kill > SAFE_DISTANCE
        
        return {
            'ttk': time_to_kill,
            'can_escape': defender_can_escape,
            'balance_score': calculate_balance_metric(...)
        }

Applications:

Balance weapon damage and fire rates
Validate class roles and counters
Test different engagement scenarios
Ensure no dominant strategies

3. Flag Capture Simulation

Objective Flow Testing:

Simulate flag running routes
Test capture timing and scoring
Validate team balance

class ObjectiveSimulation:
    def simulate_capture_attempt(self, fort_layout, runner_class):
        """Simulate flag capture with given fort design"""
        runner = create_player(runner_class, has_flag=True)
        path = calculate_optimal_path(fort_layout, runner.move_speed)
        
        # Simulate defenders attempting to intercept
        defenders = place_defenders(fort_layout)
        interception_probability = calculate_interception_chance(
            path, defenders, runner.move_speed
        )
        
        capture_time = len(path) / runner.move_speed
        
        return {
            'capture_time': capture_time,
            'interception_chance': interception_probability,
            'path_complexity': analyze_path_difficulty(path)
        }

Applications:

Validate map balance
Test fort effectiveness
Determine optimal class for flag running
Balance capture scoring

4. Build Phase Simulation

Fort Construction Strategies:

Simulate different building approaches
Test block placement algorithms
Measure construction efficiency

class BuildPhaseSimulation:
    def simulate_fort_construction(self, strategy, time_limit):
        """Simulate team building a fort"""
        fort = Fort()
        time_elapsed = 0
        
        while time_elapsed < time_limit:
            # AI builder places blocks according to strategy
            action = strategy.next_action(fort, time_limit - time_elapsed)
            
            if action.is_valid():
                fort.add_block(action.block, action.position)
                time_elapsed += action.duration
        
        return {
            'blocks_placed': fort.block_count,
            'coverage_score': fort.calculate_coverage(),
            'choke_points': fort.analyze_choke_points(),
            'defensive_rating': fort.calculate_defensive_value()
        }

Applications:

Test AI bot building strategies
Validate block limits are sufficient
Benchmark construction efficiency
Generate example fort designs

5. Network Performance Simulation

Multiplayer Load Testing:

Simulate player counts and actions
Measure replication bandwidth
Test server tick rate under load

class NetworkSimulation:
    def simulate_multiplayer_match(self, player_count, match_duration):
        """Simulate network load for a full match"""
        server = MockServer()
        players = [MockPlayer() for _ in range(player_count)]
        
        # Simulate build phase
        build_data = self.simulate_build_phase(players)
        server.replicate_blocks(build_data)
        
        # Simulate combat phase
        combat_data = self.simulate_combat_phase(players)
        server.replicate_combat_events(combat_data)
        
        return {
            'peak_bandwidth': server.peak_bandwidth_mbps,
            'average_tick_rate': server.average_tick_rate,
            'replication_bottlenecks': server.identify_bottlenecks(),
            'player_count_limit': server.estimate_player_limit()
        }

Applications:

Determine maximum player counts
Optimize replication strategies
Identify performance bottlenecks
Validate network code before implementation

Python Integration

Python Usage in UE5:

1. Editor Scripts

Asset batch processing
Content validation
Automated testing
Build pipeline automation

Example Use Cases:

# Batch generate all block variations
from unreal_engine_toolkit import generate_block_library

def generate_all_blocks():
    """Generate complete block library"""
    sizes = ['small', 'medium', 'large']
    types = ['cube', 'panel', 'beam']
    
    for size in sizes:
        for block_type in types:
            generate_block(
                type=block_type,
                size=size,
                output_path=f'/Game/Blocks/{size}_{block_type}'
            )

2. Content Pipeline

Import processing
Texture generation
Material setup automation
LOD generation

3. Testing Infrastructure

Unit tests for procedural systems
Integration tests for game mechanics
Performance benchmarks
Regression testing

Test Framework:

import unittest
from unreal_fort_tests import BlockGenerator, MapGenerator

class TestBlockGeneration(unittest.TestCase):
    def setUp(self):
        self.generator = BlockGenerator()
    
    def test_cube_generation(self):
        """Verify cube blocks generate correctly"""
        block = self.generator.create_cube(size=1.0)
        self.assertEqual(block.face_count, 6)
        self.assertTrue(block.is_manifold())
        self.assertAlmostEqual(block.volume, 1.0, places=2)
    
    def test_team_material_application(self):
        """Verify team colors apply correctly"""
        block = self.generator.create_cube(size=1.0)
        block.apply_team_material(team='alpha')
        self.assertEqual(block.material.team_color, TEAM_ALPHA_COLOR)

class TestMapGeneration(unittest.TestCase):
    def test_symmetrical_layout(self):
        """Verify maps generate with symmetry"""
        map_gen = MapGenerator(symmetry='x_axis')
        layout = map_gen.generate()
        self.assertTrue(layout.is_symmetric(tolerance=0.1))

4. Data Generation

Configuration file generation
Balance tables
Localization strings
Documentation generation

5. Quick Start: Setting Up Testing

Note: This section describes the planned development environment setup. These files and directories will be created during project implementation.

Development Environment Setup:

# Clone repository
git clone <repository-url>
cd BlockWar

# Install Python dependencies (files to be created)
pip install -r requirements.txt
pip install -r requirements-test.txt

# Run unit tests (no UE5 required)
pytest tests/unit/ -v

# Generate procedural content (requires UE5)
python scripts/generate_all_content.py

# Run UE5 automation tests (requires UE5 editor)
# Replace <project-name> with actual UE5 project name (e.g., BlockWar)
UnrealEditor.exe <project-name>.uproject -ExecCmds="Automation RunTests;Quit"

Running Tests in CI/CD:

Unit tests run on every commit (GitHub Actions)
Integration tests run on pull requests
Full UE5 build tests run on main branch merges
See .github/workflows/ci.yml for complete pipeline (to be implemented)

Test-Driven Development Workflow:

Write Python unit test for generation logic
Implement generation algorithm in Python
Run pytest to verify (fast, no UE5 needed)
Integrate with UE5 APIs
Run UE5 automation tests to verify integration
Commit and push (CI/CD runs full test suite)

Testing Strategy

Unit Tests

Coverage Areas:

Procedural Generation
- Mesh generation produces valid geometry
- Materials apply correctly
- LODs generate properly
- Collision is accurate
Game Logic
- Damage calculations
- Scoring systems
- Phase transitions
- Flag mechanics
Physics Systems
- Block stability
- Collision detection
- Freeze/unfreeze states
- Destruction propagation

Example Test Suite Structure:

tests/
├── unit/
│   ├── test_block_generation.py
│   ├── test_weapon_stats.py
│   ├── test_damage_calculation.py
│   └── test_physics_stability.py
├── integration/
│   ├── test_build_phase.py
│   ├── test_combat_phase.py
│   └── test_flag_capture.py
├── simulation/
│   ├── test_balance_scenarios.py
│   ├── test_map_flow.py
│   └── test_network_load.py
└── performance/
    ├── test_block_limits.py
    ├── test_player_counts.py
    └── test_rendering_performance.py

Integration Tests

Full gameplay cycle tests
Networked multiplayer scenarios
Build-to-combat transitions
Complete match simulations

Performance Tests

Frame rate benchmarks with various block counts
Network bandwidth under load
Memory usage profiling
Load time measurements

Continuous Integration

Automated Testing Pipeline:

Code commit triggers tests
Run unit tests (fast, < 1 minute)
Run integration tests (medium, 5-10 minutes)
Run simulation tests (slower, 15-30 minutes)
Generate test report
Block merge if tests fail

Benefits:

Catch regressions early
Validate balance changes
Ensure performance targets
Document expected behavior

How UE5 Procedural Generation Enables Unit Testing

Testing Architecture:

Python Scripts: Core generation logic lives in Python scripts that can be tested independently

# scripts/generators/block_generator.py - Testable outside UE5
def generate_block_parameters(block_type, size):
    # Pure Python logic, fully unit testable
    return BlockParams(...)

UE5 Integration: Python scripts call UE5 APIs to create actual assets

# Only executed in UE5 editor
import unreal
block_params = generate_block_parameters('cube', 1.0)  # Tested
unreal.EditorAssetLibrary.create_asset(...)  # UE5 integration

C++ Systems: Game logic in C++ with dedicated test targets

// Can be compiled and tested separately from editor
class BlockPhysicsSystem {
    bool IsStable(const BlockConfig& config);  // Unit testable
};

This approach provides:

✅ Fast unit tests (Python/C++) without launching UE5 editor
✅ Integration tests within UE5 automation framework
✅ CI/CD pipeline compatibility
✅ Code coverage metrics
✅ Rapid iteration cycles

Benefits Summary

Procedural Generation + Testing Advantages:

Rapid Iteration: Change parameters, regenerate, test automatically
Consistency: Algorithmic generation ensures uniform quality
Scalability: Easy to expand content library
Validation: Automated testing catches issues early
Documentation: Tests serve as executable specifications
Balance: Simulation validates gameplay before implementation
Performance: Profile generated content before runtime
Maintainability: Fewer manual assets to maintain
Collaboration: Designers adjust parameters, not assets
Quality Assurance: Unit tests prevent regressions

Development Workflow:

1. Define parameters (data-driven design)
2. Write generation algorithm
3. Write unit tests for validation
4. Generate content programmatically
5. Run automated tests
6. Iterate on parameters based on test results
7. Simulate gameplay scenarios
8. Refine based on simulation data
9. Deploy to engine for playtesting
10. Repeat cycle

This procedural-first approach ensures BlockWar is built on a solid, testable foundation that can evolve and scale efficiently.

CI/CD Pipeline

Overview

A robust CI/CD (Continuous Integration/Continuous Deployment) pipeline is essential for BlockWar development, ensuring code quality, catching regressions early, and automating the build and deployment process. The pipeline will handle code validation, automated testing, builds, and deployment to various environments.

Pipeline Architecture

CI/CD Platform Options:

GitHub Actions: Primary choice for repository-integrated CI/CD
Jenkins: Alternative for self-hosted solution with more control
TeamCity: Option for Unreal Engine specific optimizations
GitLab CI/CD: If using GitLab for repository hosting

Recommended: GitHub Actions

Native GitHub integration
Free for public repositories
Good Windows support (important for UE5)
Large ecosystem of actions
Self-hosted runner support for heavy builds

Pipeline Stages

Stage 1: Code Quality Checks (Fast - 2-5 minutes)

Triggered on: Every push, every pull request

Jobs:

Linting and Code Style

- name: Lint C++ Code
  run: |
    clang-format --dry-run --Werror **/*.cpp **/*.h

- name: Lint Python Code
  run: |
    pylint scripts/ tests/
    black --check scripts/ tests/
    flake8 scripts/ tests/

- name: Lint Blueprints
  run: |
    python scripts/validate_blueprints.py

Static Analysis

- name: C++ Static Analysis
  run: |
    clang-tidy Source/**/*.cpp

- name: Check for Common Issues
  run: |
    python scripts/check_common_issues.py
    # Check for: TODO comments, debug code, hardcoded paths

Documentation Check

- name: Verify Documentation
  run: |
    python scripts/verify_docs.py
    # Ensure public APIs are documented
    # Check for broken links in markdown

Success Criteria:

All linters pass
No critical static analysis warnings
Documentation is complete

Stage 2: Unit Tests (Medium - 5-10 minutes)

Triggered on: After Stage 1 passes

Jobs:

Python Unit Tests

- name: Run Python Tests
  run: |
    pytest tests/unit/ --cov=scripts --cov-report=xml

- name: Upload Coverage
  uses: codecov/codecov-action@v3
  with:
    files: ./coverage.xml

C++ Unit Tests

- name: Build Test Binaries
  run: |
    cmake --build build --target BlockWarTests

- name: Run C++ Tests
  run: |
    ./build/BlockWarTests --gtest_output=xml:test-results.xml

Procedural Generation Tests

- name: Test Block Generation
  run: |
    pytest tests/unit/test_block_generation.py -v

- name: Test Map Generation
  run: |
    pytest tests/unit/test_map_generation.py -v

- name: Validate Generated Assets
  run: |
    python scripts/validate_generated_assets.py

Success Criteria:

All unit tests pass
Code coverage >= 70%
No memory leaks detected

Stage 3: Integration Tests (Slower - 15-30 minutes)

Triggered on: After Stage 2 passes (only on main branch and PRs)

Jobs:

Gameplay Simulation Tests

- name: Run Combat Simulations
  run: |
    pytest tests/simulation/test_combat_balance.py -v

- name: Run Physics Simulations
  run: |
    pytest tests/simulation/test_block_physics.py -v

- name: Run Network Simulations
  run: |
    pytest tests/simulation/test_network_load.py -v

Integration Test Suite

- name: Build Phase Integration Tests
  run: |
    pytest tests/integration/test_build_phase.py -v

- name: Combat Phase Integration Tests
  run: |
    pytest tests/integration/test_combat_phase.py -v

- name: Full Match Simulation
  run: |
    pytest tests/integration/test_full_match.py -v

Success Criteria:

All integration tests pass
Simulation results within expected parameters
Balance metrics meet targets

Stage 4: Unreal Engine Build (Heavy - 30-60 minutes)

Triggered on: After Stage 3 passes (main branch, release branches, and tagged releases)

Jobs:

Editor Build

- name: Setup Unreal Engine
  uses: game-ci/setup-unreal@v1
  with:
    unreal-version: '5.3'

- name: Build Editor
  run: |
    RunUAT BuildEditor -project=BlockWar.uproject -platform=Win64

- name: Verify Editor Starts
  run: |
    UnrealEditor.exe BlockWar.uproject -ExecCmds="Automation RunTests System.Core;Quit" -unattended

Procedural Content Generation

- name: Generate Game Content
  run: |
    UnrealEditor.exe BlockWar.uproject -run=PythonScript -script=generate_all_content.py -unattended

- name: Validate Generated Content
  run: |
    python scripts/validate_ue_content.py

Package Game Builds

- name: Package Windows Client
  run: |
    RunUAT BuildCookRun -project=BlockWar.uproject -platform=Win64 -clientconfig=Development -cook -stage -pak -archive -archivedirectory=builds/Windows

- name: Package Windows Server
  run: |
    RunUAT BuildCookRun -project=BlockWar.uproject -platform=Win64 -clientconfig=Development -server -serverconfig=Development -cook -stage -pak -archive -archivedirectory=builds/WindowsServer

- name: Package Linux Server (Optional)
  run: |
    RunUAT BuildCookRun -project=BlockWar.uproject -platform=Linux -server -serverconfig=Development -cook -stage -pak -archive -archivedirectory=builds/LinuxServer

Success Criteria:

Editor builds successfully
All content generates without errors
Game packages successfully
Package size within limits

Stage 5: Automated Gameplay Tests (Heavy - 20-40 minutes)

Triggered on: After Stage 4 passes (main branch and release candidates)

Jobs:

Automated Playtesting

- name: Run Bot Match Tests
  run: |
    UnrealEditor.exe BlockWar.uproject -ExecCmds="Automation RunTests Project.BotMatch;Quit" -unattended -ReportOutputPath=test-reports/

- name: Analyze Test Results
  run: |
    python scripts/analyze_bot_match_results.py test-reports/

Performance Benchmarks

- name: Run Performance Tests
  run: |
    UnrealEditor.exe BlockWar.uproject -ExecCmds="Automation RunTests Project.Performance;Quit" -unattended

- name: Profile Frame Rate
  run: |
    python scripts/profile_performance.py

- name: Check Performance Regression
  run: |
    python scripts/compare_performance.py --baseline=main --current=HEAD

Network Load Testing

- name: Start Test Server
  run: |
    BlockWarServer.exe -log -unattended &

- name: Simulate Player Load
  run: |
    python scripts/simulate_multiplayer_load.py --players=32 --duration=300

- name: Analyze Network Stats
  run: |
    python scripts/analyze_network_performance.py

Success Criteria:

Bot matches complete without crashes
Frame rate meets targets (60+ FPS)
Network performance within acceptable limits
No memory leaks over extended play

Stage 6: Deployment (Variable time)

Triggered on: Manual approval after Stage 5 passes, or automatically on tagged releases

Deployment Targets:

Development Builds (Automatic)

- name: Upload to Development Server
  run: |
    aws s3 sync builds/ s3://blockwar-dev/builds/${{ github.sha }}/ --delete

- name: Update Development Server
  run: |
    ssh dev-server "cd /opt/blockwar && ./update.sh ${{ github.sha }}"

- name: Notify Team
  uses: 8398a7/action-slack@v3
  with:
    status: custom
    custom_payload: |
      {
        text: "New development build available: ${{ github.sha }}"
      }

Staging Environment (Automatic on main branch)

- name: Deploy to Staging
  run: |
    aws s3 sync builds/ s3://blockwar-staging/builds/${{ github.sha }}/
    kubectl apply -f k8s/staging/
    kubectl set image deployment/blockwar-server blockwar-server=blockwar:${{ github.sha }}

Production (Manual approval required)

- name: Deploy to Production
  if: startsWith(github.ref, 'refs/tags/v')
  run: |
    aws s3 sync builds/ s3://blockwar-prod/releases/${{ github.ref_name }}/
    kubectl apply -f k8s/production/

- name: Create Release Notes
  run: |
    python scripts/generate_release_notes.py --version=${{ github.ref_name }}

- name: Publish to Steam (Future)
  run: |
    steamcmd +login $STEAM_USER +run_app_build ../scripts/steam_build.vdf +quit

Self-Hosted Runners

Why Self-Hosted Runners:

Unreal Engine builds are resource-intensive
Require Windows machines with specific hardware
GitHub Actions free tier has limited Windows minutes
Better control over build environment
Can leverage powerful hardware (32GB+ RAM, SSD storage)

Setup:

# .github/workflows/build.yml
jobs:
  unreal-build:
    runs-on: [self-hosted, windows, unreal-engine]
    steps:
      # Build steps here

Hardware Requirements:

CPU: 8+ cores (Ryzen 9 / Intel i9 or better)
RAM: 32GB minimum, 64GB recommended
Storage: 500GB+ SSD for Unreal Engine and build artifacts
GPU: Not strictly required but helpful for automated testing
OS: Windows 10/11 or Windows Server 2019+

Runner Configuration:

# Install runner as a service
./config.cmd --url https://github.com/yourorg/BlockWar --token YOUR_TOKEN --labels windows,unreal-engine --unattended
./run.cmd

Caching Strategy

Cache Key Elements: To speed up builds, cache frequently used but slowly changing data.

Caching Unreal Engine:

- name: Cache Unreal Engine
  uses: actions/cache@v3
  with:
    path: |
      C:/UnrealEngine
      ~/UnrealEngine
    key: ue-5.3-${{ runner.os }}

Caching Build Artifacts:

- name: Cache Build Intermediates
  uses: actions/cache@v3
  with:
    path: |
      Intermediate/
      Saved/
      .vs/
    key: build-cache-${{ runner.os }}-${{ hashFiles('Source/**/*.cpp', 'Source/**/*.h') }}
    restore-keys: |
      build-cache-${{ runner.os }}-

Caching Python Dependencies:

- name: Cache Python Dependencies
  uses: actions/cache@v3
  with:
    path: ~/.cache/pip
    key: pip-${{ hashFiles('requirements.txt') }}

Caching Generated Content:

- name: Cache Generated Assets
  uses: actions/cache@v3
  with:
    path: Content/Generated/
    key: generated-content-${{ hashFiles('scripts/generate_content.py') }}

Continuous Monitoring

Build Metrics to Track:

Build Times: Track how long each stage takes
Test Pass Rate: Percentage of tests passing over time
Code Coverage: Ensure coverage doesn't decrease
Performance Metrics: Frame rate, memory usage, network latency
Build Size: Track package size over time
Failure Rate: Monitor how often builds fail

Monitoring Tools:

GitHub Insights: Built-in analytics
Codecov: Code coverage tracking
Grafana + Prometheus: Custom metrics dashboards
Sentry: Error tracking and monitoring

Alerts:

- name: Notify on Failure
  if: failure()
  uses: 8398a7/action-slack@v3
  with:
    status: ${{ job.status }}
    text: 'Build failed on ${{ github.ref }}'
    webhook_url: ${{ secrets.SLACK_WEBHOOK }}

Branch Strategy

Branch Protection Rules:

Main Branch:

Require pull request reviews (1+ approvals)
Require status checks to pass:
- Code quality checks
- Unit tests
- Integration tests
Require branches to be up to date
Require linear history (no merge commits)
Require signed commits (optional but recommended)

Development Branch:

Less strict, but still require tests to pass
Automatic deployment to dev environment

Feature Branches:

Run code quality and unit tests only (faster feedback)
Full integration tests only when merging to main

Release Branches:

Full test suite
Additional release candidate testing
Manual deployment approval

Workflow:

feature/new-weapon → PR → development → PR → main → tag → production
                     ↓                    ↓      ↓
                   Tests              Full CI   Release

Example GitHub Actions Workflow

Complete workflow file:

# .github/workflows/ci.yml
name: BlockWar CI/CD

on:
  push:
    branches: [ main, development ]
    tags: [ 'v*' ]
  pull_request:
    branches: [ main, development ]

env:
  UE_VERSION: '5.3'
  PROJECT_NAME: 'BlockWar'

jobs:
  code-quality:
    name: Code Quality Checks
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.11'
          
      - name: Install Python dependencies
        run: |
          pip install -r requirements-dev.txt
          
      - name: Lint Python
        run: |
          black --check scripts/ tests/
          flake8 scripts/ tests/
          pylint scripts/ tests/
          
      - name: Check C++ formatting
        run: |
          python scripts/check_cpp_format.py
          
      - name: Static analysis
        run: |
          python scripts/static_analysis.py

  unit-tests:
    name: Unit Tests
    needs: code-quality
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.11'
          
      - name: Install dependencies
        run: |
          pip install -r requirements.txt
          pip install -r requirements-test.txt
          
      - name: Run Python unit tests
        run: |
          pytest tests/unit/ --cov=scripts --cov-report=xml -v
          
      - name: Upload coverage
        uses: codecov/codecov-action@v3
        with:
          files: ./coverage.xml
          
      - name: Test procedural generation
        run: |
          pytest tests/unit/test_block_generation.py -v
          pytest tests/unit/test_map_generation.py -v

  integration-tests:
    name: Integration Tests
    needs: unit-tests
    runs-on: ubuntu-latest
    if: github.event_name == 'push' || github.base_ref == 'main'
    steps:
      - uses: actions/checkout@v3
      
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.11'
          
      - name: Install dependencies
        run: |
          pip install -r requirements.txt
          pip install -r requirements-test.txt
          
      - name: Run simulations
        run: |
          pytest tests/simulation/ -v
          
      - name: Run integration tests
        run: |
          pytest tests/integration/ -v

  unreal-build:
    name: Build Unreal Engine Project
    needs: integration-tests
    runs-on: [self-hosted, windows, unreal-engine]
    if: github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/tags/v')
    steps:
      - uses: actions/checkout@v3
      
      - name: Generate procedural content
        run: |
          python scripts/generate_all_content.py
          
      - name: Build Editor
        run: |
          & "C:/UnrealEngine/Engine/Build/BatchFiles/RunUAT.bat" BuildEditor -project="${{ github.workspace }}/${{ env.PROJECT_NAME }}.uproject" -platform=Win64
          
      - name: Run Unreal automation tests
        run: |
          & "C:/UnrealEngine/Engine/Binaries/Win64/UnrealEditor.exe" "${{ github.workspace }}/${{ env.PROJECT_NAME }}.uproject" -ExecCmds="Automation RunTests System;Quit" -unattended -nopause -NullRHI -log
          
      - name: Package game
        run: |
          & "C:/UnrealEngine/Engine/Build/BatchFiles/RunUAT.bat" BuildCookRun -project="${{ github.workspace }}/${{ env.PROJECT_NAME }}.uproject" -platform=Win64 -clientconfig=Development -cook -stage -pak -archive -archivedirectory="${{ github.workspace }}/builds/Windows"
          
      - name: Upload build artifacts
        uses: actions/upload-artifact@v3
        with:
          name: windows-build-${{ github.sha }}
          path: builds/Windows/
          retention-days: 30

  deploy-dev:
    name: Deploy to Development
    needs: unreal-build
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    steps:
      - name: Download build artifacts
        uses: actions/download-artifact@v3
        with:
          name: windows-build-${{ github.sha }}
          
      - name: Deploy to dev server
        run: |
          aws s3 sync . s3://blockwar-dev/builds/${{ github.sha }}/ --delete
          
      - name: Notify team
        uses: 8398a7/action-slack@v3
        with:
          status: custom
          custom_payload: |
            {
              text: "New development build deployed: ${{ github.sha }}"
            }
        env:
          SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK }}

  deploy-production:
    name: Deploy to Production
    needs: unreal-build
    runs-on: ubuntu-latest
    if: startsWith(github.ref, 'refs/tags/v')
    environment:
      name: production
      url: https://play.blockwar.gg
    steps:
      - name: Download build artifacts
        uses: actions/download-artifact@v3
        with:
          name: windows-build-${{ github.sha }}
          
      - name: Deploy to production
        run: |
          aws s3 sync . s3://blockwar-prod/releases/${{ github.ref_name }}/ --delete
          
      - name: Create GitHub Release
        uses: softprops/action-gh-release@v1
        with:
          files: |
            builds/Windows/**/*
          generate_release_notes: true

Benefits of CI/CD for BlockWar

Automated Testing: Catch bugs before they reach players
Consistent Builds: Every build is reproducible
Fast Iteration: Developers get quick feedback
Quality Assurance: Enforced code standards
Confidence: Deploy with confidence knowing tests pass
Transparency: Team visibility into build status
Procedural Validation: Automated testing of generated content
Performance Tracking: Monitor performance regressions
Balance Validation: Simulate gameplay to ensure balance
Documentation: CI output serves as project documentation

The CI/CD pipeline is critical for maintaining code quality and rapid iteration in BlockWar development, especially given the procedural generation approach that enables comprehensive automated testing.

Development Roadmap

Phase 1: Core Prototype

Basic build and combat phase system
Simple block types and physics manipulation
Basic flag capture mechanics
Single test map
Basic networking

Phase 2: Gameplay Expansion

Multiple block types and sizes
Full class system with weapons
Destructible blocks
Phase transition polish
Multiple maps

Phase 3: Polish and Balance

UI/UX refinement
Visual and audio polish
Gameplay balancing
Performance optimization
Tutorial system

Phase 4: Community Features

Server browser
Custom server settings
Workshop integration
Replay system
Statistics tracking

Success Metrics

Player Engagement

Average match duration
Player retention rate
Matches per player session

Balance Indicators

Win rate parity between teams
Class selection distribution
Average fort complexity and effectiveness

Technical Performance

Server tick rate stability
Client frame rate (target: 60+ FPS)
Network latency tolerance
Block count limits without performance degradation

Conclusion

BlockWar aims to bring innovative build-and-combat gameplay to a modern audience using Unreal Engine 5. By implementing the core build-combat cycle while leveraging UE5's advanced capabilities, the project will deliver a fresh take on the fusion of construction and competitive FPS action. The original implementation ensures a unique experience while staying true to the spirit of tactical creativity and team-based action.

This design brief serves as the foundation for development, providing clear direction on mechanics, technical implementation, and player experience goals. Success will be measured by creating an engaging, balanced, and performant multiplayer experience that captures the magic of building forts and then battling over them.

71 KiB Raw Permalink Blame History

BlockWar Design Brief

Project Naming Recommendations

Current Name Analysis

Recommended Names

Final Recommendation

Project Overview

Purpose

Core Game Concept

Game Mechanics

1. Phase System

Build Phase

Combat Phase

Phase Transitions

2. Building System

Block Types

Building Mechanics

Strategic Building Elements

3. Combat System

Player Classes

Weapons

Destructible Environment

4. Capture the Flag System

Flag Mechanics

Scoring

5. Teams

Team Structure

Teamwork Requirements

Technical Considerations for UE5

Physics System

Building Tool Implementation

Networking

Performance Optimization

User Interface

Map Design Principles

Layout Requirements

Map Elements

Example Map Concepts

Game Modes

Primary Mode: Capture the Flag (CTF)

Potential Additional Modes

Player Progression and Retention

Match-Based Systems

Long-Term Systems (Optional)

Art Direction

Overall Artistic Vision

Visual Style Guide

Color Palette

Building Block Design

Character and Player Design

Weapon Design

Environment and Map Aesthetics

User Interface Design

Visual Effects (VFX)

Audio Design

Build Phase Audio

Combat Phase Audio

Music and Ambience

Animation and Motion

Technical Art Specifications

Reference and Inspiration

Accessibility and Learning Curve

Tutorial System

Difficulty Scaling

Community Features

Social Systems

Customization

Procedural Generation Strategy

Decision: UE5-Native Procedural Generation with Unit Testing

Overview

UE5 Procedural Generation Tools

Procedurally Generated Content

1. Building Blocks

2. Map Layouts

3. Weapons and Props

4. Materials and Textures

5. UI Elements

Game Mechanics Simulation

Simulation Framework

1. Physics Simulation

71 KiB

Raw Permalink Blame History