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WizardMerge/ROADMAP.md
2025-12-25 07:05:29 +00:00

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WizardMerge Roadmap

Vision

WizardMerge aims to become the most intuitive and powerful tool for resolving merge conflicts in software development. By combining intelligent algorithms with a clean, accessible UI, we want to make merge conflict resolution from a dreaded task into a smooth, understandable process.

Core Principles

  1. Visual Clarity: Show conflicts in a way that makes the problem immediately obvious
  2. Smart Assistance: Provide intelligent suggestions while keeping humans in control
  3. Context Awareness: Understand code structure and semantics, not just text diffs
  4. Workflow Integration: Seamlessly fit into developers' existing Git workflows
  5. Safety First: Make it hard to accidentally lose changes or break code

Phase 1: Foundation (0-3 months)

1.1 Enhanced Merge Algorithm

Priority: HIGH

  • Implement three-way merge algorithm (base, ours, theirs)
  • Add conflict detection and marking
  • Support for different conflict markers (Git, Mercurial, etc.)
  • Line-level granularity with word-level highlighting
  • Handle common auto-resolvable patterns:
    • Non-overlapping changes
    • Identical changes from both sides
    • Whitespace-only differences

Deliverable: wizardmerge/algo/three_way_merge.py module

1.2 File Input/Output

Priority: HIGH

  • Parse Git conflict markers from files
  • Load base, ours, and theirs versions from Git
  • Save resolved merge results
  • Support for directory-level conflict resolution
  • Backup mechanism for safety

Deliverable: wizardmerge/io/ module with file handlers

1.3 Core UI Components

Priority: HIGH

  • Three-panel diff view (base, ours, theirs)
  • Unified conflict view with inline markers
  • Syntax highlighting for common languages
  • Line numbering and navigation
  • Conflict counter and navigation (next/previous conflict)

Deliverable: Enhanced main.qml with conflict viewer components

1.4 Basic Conflict Resolution Actions

Priority: MEDIUM

  • Accept ours / Accept theirs buttons
  • Accept both (concatenate) option
  • Manual edit capability
  • Undo/redo stack
  • Keyboard shortcuts for common actions

Deliverable: Action handlers in QML and Python backend

1.5 Git Integration

Priority: MEDIUM

  • Detect when running in Git repository
  • Read .git/MERGE_HEAD to identify conflicts
  • List all conflicted files
  • Mark files as resolved in Git
  • Launch from command line: wizardmerge [file]

Deliverable: wizardmerge/git/ module and CLI enhancements


Phase 2: Intelligence & Usability (3-6 months)

2.1 Smart Conflict Resolution

Priority: HIGH

  • Semantic merge for common file types:
    • JSON: merge by key structure
    • YAML: preserve hierarchy
    • Package files: intelligent dependency merging
    • XML: structure-aware merging
  • Language-aware merging (AST-based):
    • Python imports and functions
    • JavaScript/TypeScript modules
    • Java classes and methods
  • Auto-resolution suggestions with confidence scores
  • Learn from user's resolution patterns

Deliverable: wizardmerge/algo/semantic/ module

2.2 Enhanced Visualization

Priority: MEDIUM

  • Side-by-side diff view option
  • Minimap for large files
  • Color-coded change types (added, removed, modified, conflicted)
  • Collapsible unchanged regions
  • Blame/history annotations
  • Conflict complexity indicator

Deliverable: Advanced QML components and visualization modes

2.3 Code Intelligence

Priority: MEDIUM

  • Integration with Language Server Protocol (LSP)
  • Syntax validation during merge
  • Show syntax errors in real-time
  • Auto-formatting after resolution
  • Import/dependency conflict detection

Deliverable: wizardmerge/lsp/ integration module

2.4 Collaboration Features

Priority: LOW

  • Add comments to conflicts
  • Mark conflicts for review
  • Export resolution report
  • Share conflict context via link
  • Team resolution patterns library

Deliverable: Collaboration UI and sharing infrastructure

2.5 Testing & Quality

Priority: HIGH

  • Comprehensive test suite for merge algorithms
  • UI automation tests
  • Performance benchmarks for large files
  • Fuzzing for edge cases
  • Documentation and examples

Deliverable: tests/ directory with full coverage


Phase 3: Advanced Features (6-12 months)

3.1 AI-Assisted Merging

Priority: MEDIUM

  • ML model for conflict resolution suggestions
  • Pattern recognition from repository history
  • Natural language explanations of conflicts
  • Context-aware code completion during merge
  • Risk assessment for resolution choices

Deliverable: wizardmerge/ai/ module with ML models

3.2 Multi-Repository Support

Priority: LOW

  • Support for monorepos
  • Cross-repository dependency tracking
  • Batch conflict resolution
  • Conflict prevention suggestions during PR review

Deliverable: Enhanced Git integration with multi-repo awareness

3.3 Advanced Git Workflows

Priority: MEDIUM

  • Rebase conflict resolution mode
  • Cherry-pick conflict handling
  • Merge strategy selection (recursive, ours, theirs, octopus)
  • Submodule conflict resolution
  • Partial staging of resolved conflicts

Deliverable: Comprehensive Git workflow support

3.4 Plugin Ecosystem

Priority: LOW

  • Plugin API for custom merge strategies
  • Community plugin repository
  • Language-specific plugins (Go, Rust, C++, etc.)
  • IDE integrations (VSCode, IntelliJ, etc.)
  • Custom visualization plugins

Deliverable: Plugin system architecture and marketplace

3.5 Performance & Scale

Priority: MEDIUM

  • Handle files with 100k+ lines
  • Streaming diff for large files
  • Incremental parsing and rendering
  • Background processing for analysis
  • Memory-efficient data structures

Deliverable: Performance optimizations throughout codebase


Technical Architecture

Current Stack

  • UI: PyQt6 + QML (declarative UI)
  • Backend: Python 3.8+
  • Themes: Plugin-based theming system
  • Algorithms: Custom merge utilities

Proposed Additions

  • Diff Library: diff-match-patch or difflib enhancements
  • Git Integration: GitPython or pygit2
  • Syntax Highlighting: Pygments or QML SyntaxHighlighter
  • AST Parsing: Language-specific parsers (ast, esprima, tree-sitter)
  • LSP: python-lsp-server integration
  • Testing: pytest, pytest-qt
  • ML (future): scikit-learn or lightweight transformers

Architecture Decisions

  1. Separation of Concerns

    • Keep merge algorithms pure and testable
    • UI communicates via well-defined Python API
    • Git operations isolated in dedicated module
  2. Performance First

    • Lazy loading for large files
    • Background threads for expensive operations
    • Incremental updates to UI
  3. Extensibility

    • Plugin system for merge strategies
    • Theme system already in place
    • Configuration file support
  4. Safety

    • Never modify original files until confirmed
    • Auto-save drafts
    • Full undo history
    • Backup before resolve

Success Metrics

Phase 1

  • Successfully resolve basic three-way merges
  • Handle 90% of common conflict patterns
  • Command-line integration working
  • 5 active users providing feedback

Phase 2

  • Auto-resolve 50% of simple conflicts
  • Support 10+ programming languages
  • UI response time < 100ms for typical files
  • 100+ active users

Phase 3

  • 80% user satisfaction rating
  • Handle repositories with 1M+ lines
  • 10+ community plugins
  • 1000+ active users

Community & Contribution

Getting Involved

  1. Try it out: Use WizardMerge on real conflicts
  2. Report issues: Help us identify edge cases
  3. Suggest features: What would make your life easier?
  4. Contribute code: Pick an item from the roadmap
  5. Write plugins: Extend for your use case

Development Priorities

We'll prioritize based on:

  • User feedback: What real developers need most
  • Impact: Features that help the most people
  • Feasibility: What we can build well with available resources
  • Foundation first: Core functionality before advanced features

Our niche: Modern UI + intelligent algorithms + seamless workflow integration


Timeline Summary

Q1 2024: Foundation - Core merge algorithm, file I/O, basic UI Q2 2024: Intelligence - Semantic merging, enhanced visualization Q3 2024: Polish - Testing, performance, collaboration features Q4 2024: Advanced - AI assistance, plugins, scale


Next Steps

  1. Immediate: Implement three-way merge algorithm
  2. This Sprint: Add file input/output and Git integration
  3. This Quarter: Complete Phase 1 foundation items
  4. Feedback Loop: Release early, get user feedback, iterate

This roadmap is a living document. Priorities may shift based on user feedback and technical discoveries. Last updated: 2024