wehub-resource-sync
115 lines
6.0 KiB
Markdown
115 lines
6.0 KiB
Markdown
# Roadmap
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## Shipped
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### v2.3.6
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- **Custom languages without forking**: `.code-review-graph/languages.toml` maps extensions and node types to any tree-sitter-language-pack grammar (`docs/CUSTOM_LANGUAGES.md`)
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- **GitHub Action** for risk-scored PR review comments: graph built/restored on the CI runner, sticky comment upserted per push, optional `fail-on-risk` merge gate; dogfooded via `.github/workflows/pr-review.yml` (`docs/GITHUB_ACTION.md`)
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- **`agent_baseline` benchmark**: graph queries vs a realistic grep-and-read-top-k agent baseline, wired into all six pinned eval configs
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- **Co-change ground truth** for `impact_accuracy`; the legacy graph-derived metric is labelled as a circular upper bound
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- **Weekly eval CI**: report-only cron run of the two smallest configs (`.github/workflows/eval.yml`)
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- **`docs/FAQ.md`**: comparisons with LSP, RAG, grep/agentic search, and adjacent tools, plus when-not-to-use guidance
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- **Contribution scaffolding**: issue forms, PR template, dependabot config
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- **Windows fixes** for `daemon status` (#511) and `detect-changes` path mapping (#528)
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- **Reliability**: embedding provider-name validation, SQLite store-leak fixes in analysis/wiki tools, `fastmcp<4` cap, hooks installed via `git rev-parse --git-path hooks`
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### v2.3.5
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- **Token Savings panel** on `detect-changes --brief` and the new `update --brief` — boxed CLI output with per-category breakdown that sums exactly to the graph response size
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- **`--verify` flag** cross-checks the displayed savings against OpenAI's `cl100k_base` tokenizer; calibration data committed in `docs/REPRODUCING.md` shows the estimate is within ~1% of real GPT-4 tokens in aggregate
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- **`code-review-graph embed`** CLI subcommand for explicit embedding generation
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- **Deterministic eval pipeline**: pinned upstream SHAs in every config, full clones with `returncode` checks, fixed-seed Leiden community detection (`CRG_LEIDEN_SEED`)
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- **`multi_hop_retrieval` benchmark**: 11 curated 2-step tool-chain tasks; average score 0.909
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- **Richer embedding text** and **identifier-aware search boost** lift multi-hop accuracy from 0.545 to 0.909
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- **Path normalization fix** in the eval pipeline + test-gap dedup in the brief summary
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- **`docs/REPRODUCING.md`**: end-to-end recipe with canonical numbers and tiktoken calibration table
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- Demo GIF (`diagrams/context-savings-demo.gif`) showing both CLI surfaces and `--verify`
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### v2.3.4
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- 30 MCP tools and 5 MCP prompts
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- Estimated context savings metadata for review, impact, detect-changes, and compact architecture responses
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- Compact architecture overview by default to reduce large MCP payloads
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- Bounded change-analysis controls for large diffs (`CRG_MAX_CHANGED_FUNCS`, `CRG_MAX_TRANSITIVE_FRONTIER`, `CRG_TOOL_TIMEOUT`)
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- Windows FastMCP semantic-search deadlock mitigation
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- Rust test detection and path lookup correctness fixes
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- Documentation and release metadata refreshed for the 2.3.4 release
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### v2.3.3
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- Broad parser surface expansion across source languages, shell scripts, notebooks, and SFC-style files
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- Additional AI coding platform install targets including Gemini CLI, Qwen, Kiro, Qoder, and GitHub Copilot variants
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- Streamable HTTP MCP transport on localhost
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- Parser/resolver, Windows, FastMCP, and daemon reliability fixes
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- Community PR sweep and VS Code accessibility improvements
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### v2.2.0
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- Multi-repo watch daemon (`crg-daemon` / `code-review-graph daemon`)
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- TOML-based daemon configuration (`~/.code-review-graph/watch.toml`)
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- Child process management: one `code-review-graph watch` process per repo
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- Config file watching with automatic reconciliation of watcher processes
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- Daemonization with PID file management
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- Health checking with automatic restart of dead watchers
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- Standalone `crg-daemon` CLI entry point (7 subcommands)
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- Integrated `daemon` subcommand group in main CLI
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### v2.0.0
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- 22 MCP tools (up from 9) and 5 MCP prompts
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- 18 languages (added Dart, R, Perl)
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- Execution flow detection with criticality scoring
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- Community detection (Leiden algorithm via igraph, file-based fallback)
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- Architecture overview with coupling warnings
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- Risk-scored change detection (`detect_changes`)
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- Refactoring tools (rename preview, dead code, suggestions)
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- Wiki generation from community structure
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- Multi-repo registry with cross-repo search
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- FTS5 full-text search with porter stemming
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- Database migrations (v1-v5)
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- Evaluation framework with matplotlib visualization
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- TypeScript tsconfig path alias resolution
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- MiniMax embedding provider (embo-01)
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- Optional dependency groups: `[embeddings]`, `[google-embeddings]`, `[communities]`, `[eval]`, `[wiki]`, `[all]`
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- 486 tests across 22 test files
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### v1.8.4
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- Multi-word AND search, call target resolution, impact radius pagination
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- `find_large_functions_tool`, Vue SFC and Solidity support
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- Documentation overhaul
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### v1.7.0
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- `install` command as primary entry point (`init` kept as alias)
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- `--dry-run` flag for previewing install/init changes
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- Automatic PyPI publishing via GitHub Actions on release
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- README rewrite with real benchmark data from httpx, FastAPI, and Next.js
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### v1.6.x
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- Portable `uvx`-based MCP config
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- SessionStart hook for automatic graph tool preference
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- 24 audit fixes: C/C++ support, performance, CI hardening
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### v1.5.x
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- Generated files in `.code-review-graph/` directory
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- Visualization density: collapsed start, search, edge toggles
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- Works without git
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### v1.4.0
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- `init` command, interactive D3.js visualization, `serve` command
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### v1.3.0
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- Universal pip install, CLI entry point, Python version check
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### v1.1.0-v1.2.0
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- Watch mode, vector embeddings, logging, CI coverage
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### v1.0.0 (Foundation)
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- Persistent SQLite knowledge graph, Tree-sitter parsing, incremental updates
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- Impact radius analysis, 6 MCP tools, 3 skills
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## Planned
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- GitHub App / bot mode beyond the shipped GitHub Action (org-wide install, check runs)
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- Team sync (shared graph via git-tracked DB)
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- Performance optimization for monorepos (>50k files)
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## Ongoing
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- Additional language grammars as requested
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- Integration updates as AI coding platforms evolve
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