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docs: update project backlog and roadmap
- Update backlog.md with current task statuses - Update ROADMAP.md to accurately reflect project progress - Create TASK-022 for fixing CI pipeline issues - Add next priorities section to roadmap
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.tasks/ROADMAP.md

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# Project Roadmap: Files-DB-MCP
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Last Updated: 2025-03-22
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Last Updated: 2024-03-24
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## Version History
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- v1.0 (2025-03-22) - Initial roadmap
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- v1.0 (2024-03-24) - Initial roadmap based on existing documentation and progress
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## Strategic Vision
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Build a local vector database system for software project files that enables LLM coding agents to efficiently search through codebases via MCP interface, significantly improving code understanding and search capabilities. The system should provide an effortless setup experience for developers joining existing projects, with immediate indexing and search capabilities through a simple startup command in any project directory.
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A local vector database system that provides LLM coding agents with fast, efficient search capabilities for software projects via the Message Control Protocol (MCP).
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## Success Metrics
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- Installation time: < 1 minute for existing project setup
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- Time to first results: < 30 seconds after container startup
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- Query response time: < 500ms for typical file searches
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- Integration: Seamless MCP integration with Claude Code, Cursor, and similar tools
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- Zero-configuration: Automatic detection and indexing of project files
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- Reliability: > 99% uptime during development sessions
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- **Installation Success Rate**: 95%+ of users can install and run successfully
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- **Query Performance**: <500ms for typical vector searches
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- **Integration**: Support for major LLM tools (Claude, LLaMA, etc.)
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- **Developer Experience**: Positive feedback from early adopters
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## Timeline Overview
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Phase 1 - Core Functionality: Vector DB Implementation and Basic MCP Interface
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Phase 2 - Enhanced Features: Advanced Search, Optimization, and Integration
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Phase 3 - Robustness: Testing, Documentation, and Distribution
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[Q1 2024] - Phase 1: Core Functionality (COMPLETED)
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[Q2 2024] - Phase 2: Beta Release and Refinement (IN PROGRESS)
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[Q3 2024] - Phase 3: Stable Release and Advanced Features (PLANNED)
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## Phase 1: Core Functionality - [Q1 2024]
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Building the foundational system components and essential features.
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## Phase 1: Core Functionality
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### Key Deliverables:
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- One-command Docker Compose setup for instant deployment in any project directory
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- Auto-detecting file indexing system with immediate start on container launch
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- Continuous file monitoring for real-time updates to the index
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- Basic MCP interface with stdio support
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- Initial query capabilities (basic search by similarity)
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- Zero-configuration startup for existing projects
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- Background indexing with progressive result improvement
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## Phase 2: Enhanced Features
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- ✅ Basic Vector Search - Completed
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- ✅ MCP Interface - Completed
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- ✅ File Indexing System - Completed
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- ✅ Project Initialization - Completed
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- ✅ Incremental Indexing - Completed
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- ✅ Repository Structure Cleanup - Completed
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- ✅ Installation Process - Completed
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## Phase 2: Beta Release and Refinement - [Q2 2024] 🟡
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Preparing for and launching the v0.1.0 beta release.
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### Key Deliverables:
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- Server-Sent Events (SSE) support in MCP interface
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- Advanced search capabilities (semantic search, filters)
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- Incremental indexing for large codebases
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- Performance optimizations
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- Configuration options for open source Hugging Face embedding models
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- Support for quantization and binary embeddings to improve storage efficiency
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- Advanced indexing settings and algorithm selection
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## Phase 3: Robustness
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- ✅ Comprehensive Documentation - Completed
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- 🟡 Test Suite Fixes - In Progress (80%)
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- 🟡 CI/CD Pipeline - In Progress (80%)
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- 🟡 Beta Release (v0.1.0) - In Progress (40%)
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- 🔴 Release Process - Not Started
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- 🔴 Versioning Strategy - Not Started
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## Phase 3: Stable Release and Advanced Features - [Q3 2024] 🔴
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Incorporating beta feedback and adding advanced functionality.
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### Key Deliverables:
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- Comprehensive test suite
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- Full documentation (installation, usage, configuration)
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- Easy installation process (script or CLI tool)
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- Example integrations with common LLM tools
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- Monitoring and diagnostics
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- 🔴 Advanced Filtering - Not Started
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- 🔴 Performance Optimization - Not Started
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- 🔴 IDE Integrations - Not Started
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- 🔴 Multi-modal Search - Not Started
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- 🔴 Stable Release (v1.0.0) - Not Started
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## Risk Assessment
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- Performance: Large codebases might slow down indexing and search - Mitigate with incremental indexing and optimization
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- MCP Standard Changes: MCP protocol might evolve - Monitor changes and maintain compatibility
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- Resource Usage: Vector DB might consume excessive resources - Implement resource limits and efficient storage
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- Integration Complexity: Different LLM tools might require different integration approaches - Create flexible adapter system
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- **Dependency Changes**: Embedding models or MCP protocol might change - Monitor upstream projects regularly
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- **Performance Bottlenecks**: Vector search might be slow with very large codebases - Implement pagination and chunking
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- **Installation Complexity**: Docker-based setup might be challenging for some users - Prioritize UX and documentation (Addressed in TASK-021)
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## Next Priorities
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1. Complete test suite fixes (TASK-012)
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2. Fix CI pipeline issues (TASK-022)
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3. Establish versioning strategy for beta release
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4. Complete Beta Release preparations (TASK-018)

.tasks/TASK-022.md

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---
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id: TASK-022
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type: infra
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priority: critical
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status: todo
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---
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# Fix CI Pipeline Issues After Repository Reorganization
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## Description
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The CI pipeline is not functioning correctly after the repository reorganization in TASK-019 and TASK-020. The workflows need to be updated to reflect the new file structure, and several tests are failing in the CI environment. This task involves fixing these issues to ensure the CI pipeline can effectively validate code changes.
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## Acceptance Criteria
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- [ ] Update GitHub Actions workflow files to reference correct paths after reorganization
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- [ ] Fix Docker build process in CI to work with new directory structure
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- [ ] Ensure test discovery finds all tests in the new directory structure
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- [ ] Confirm test coverage reporting works correctly
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- [ ] Fix any environment-specific test failures in CI
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- [ ] Add status badges to README.md for CI/CD status
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- [ ] Document CI pipeline setup and troubleshooting in developer documentation
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## Technical Notes
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- The `.github/workflows/ci.yml` file needs to be updated to reflect the new directory structure
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- Docker build context may need adjustments due to the new `.docker` directory
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- Test discovery patterns may need updating to find tests in the reorganized `/tests` directory
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- Coverage configuration likely needs updating to reflect new source code paths
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- CI environment may have different permissions than local development environment
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## Dependencies
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- TASK-019: Repository Structure Cleanup
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- TASK-020: Continue Repository Cleanup for Elegant Structure
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- TASK-015: CI/CD Pipeline Implementation
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## Related Tasks
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- TASK-012: Fix Test Suite Issues (some overlap in test fixes)
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- TASK-018: Prepare v0.1.0 Beta Release (depends on working CI)

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