AutoMetabuilder/ROADMAP.md

Roadmap

Phase 1: Foundation

• Basic GitHub Integration (fetching issues/PRs)
• Local YAML prompt loading
• Tool-based SDLC operations (branch/PR creation)
• Multi-language support for messages

Phase 2: Enhanced Context & Reasoning

• Roadmap Awareness: Bot should explicitly read and update ROADMAP.md.
• Repository Indexing: Implement a way to index the codebase for better context.
• Declarative Task Processing: Move more logic into JSON/YAML specifications.
• Feedback Loop: Support for the AI to read comments on PRs it created.

Phase 3: Advanced Automation (MVP)

• Automated Testing: Integration with test runners to verify changes before PR.
• Linting Integration: Automatically run and fix linting issues.
• Multi-Model Support: Easily switch between different LLM providers.
• CI/CD Integration: Github Actions to run AutoMetabuilder on schedule or trigger.

Phase 4: Optimization & Scalability

• Dockerization: Provide a Dockerfile and docker-compose for easy environment setup. Added run_docker_task tool.
• Extended Toolset: Add tools for dependency management (poetry) and file manipulation (read/write/edit).
• Self-Improvement: Allow the bot to suggest and apply changes to its own prompt.yml or tools.json.
• Robust Error Handling: Implement exponential backoff for API calls and better error recovery.
• Monitoring & Logging: Structured logging and status reporting for long-running tasks.

Phase 5: Ecosystem & User Experience

• Web UI: A simple dashboard to monitor tasks and approve tool executions. Enhanced with settings and translation management.
• Plugin System: Allow users to add custom tools via a plugin directory.
• Slack/Discord Integration: Command and notify the bot from chat platforms.

Phase 6: Advanced Web UI & Remote Control

• Remote Command Execution: Trigger bot runs from the Web UI.
• User Authentication: Secure the Web UI with login.
• Visual Task Progress: Real-time progress bars for long-running tasks.