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The deterministic contract layer for AI-modified codebases — effects, purity, contracts, and blast radius, with zero LLM calls.

Project description

CodeGraph IR (CGIR)

The deterministic contract layer for AI-modified codebases. Agents write more of the code than you can review. CGIR reads a repo (Python, TypeScript, Go, Rust, C) and — with zero LLM calls — tells you what each component is (effects, purity, contract, entrypoints, call surface) and whether a change altered it. Think ruff, but for architecture instead of style: fast, static, hallucination-free.

Distributed as codegraph-ir; the command and import package are both cgir.

Install

uv tool install codegraph-ir      # isolated CLI (recommended); or: pipx install codegraph-ir
cgir --version

For library/agent use in a project: uv pip install codegraph-ir (extras: [mcp] for the agent server, [api] for the HTTP surface, [llm] for regeneration).

The local loop

cgir scan .                          # build the .cgir index (Py, TS, Go, Rust, C)
cgir watch .                         # keep it live: re-scan + show contract drift on save
cgir pack app.service.charge --repo .   # minimal context bundle for one component
cgir impact app.service.charge          # blast radius: affected callers, entrypoints, tests
cgir impact app.service.charge --candidate new.py --repo .   # radius narrowed by the real delta
cgir verify app.service.charge --candidate new.py --repo .   # contract-check an edit
cgir hook install                    # pre-commit seatbelt: block contract-breaking commits
cgir lsp                             # editor squiggles for pin violations + drift (cgir[lsp])

pack → edit → impactverifyhook, with watch keeping the index fresh underneath — an always-on membrane you and your agent both consult.

Gate CI on contract drift

The GitHub Action scans a PR's base and head and fails the build on drift — a pure function that starts hitting the network, a service that stops persisting, a new POST /admin route — deterministically, with no per-seat LLM cost:

- uses: asonkiya/llm-semantic-compilers@v0
  with:
    fail-on: "effect-gain:net effect-gain:fs effect-gain:db effect-loss:net effect-loss:fs effect-loss:db"

The default rule set is evidence-based: replaying real commit history, the I/O effect rules fire on ~0–10% of commits, each a genuine change in a component's I/O surface.

Agents as first-class users

cgir mcp --index .cgir serves the index over MCP. Instead of grepping, an agent calls search / pack to load minimal context, impact to see what a change touches, and verify / impact_of_change to contract-check its own edit before proposing it. See examples/ for a worked agent-PR case study.

Setup guide for agents (MCP config + CLAUDE.md snippet): docs/agents.md. Or via the pre-commit framework: hook id cgir-contract-check.

How it compares (honestly)

CGIR CodeGraph-style MCP graphs Greptile / CodeRabbit import-linter / ArchUnit oasdiff / Pact
Effects & purity contracts per function ❌ LLM judgment
Invariants declared in source (# cgir: pure) & enforced imports only API boundary only
Deterministic (same input → same verdict, zero LLM) ✅ structure only
Catches "service silently stopped calling the backend" sometimes at spec boundaries
Blast radius + coverage-grounded test selection
Agent context over MCP ✅ contract packs ✅ broader retrieval
Finds logic bugs
Languages 5 builtin + plugin API 30+ most per-tool spec-level
Cycle / layer rules ✅ mature
Cost free, local mostly free ~$24–30/user/mo free free

Where CGIR loses, we say so: it does not find logic bugs (a subtly wrong algorithm with unchanged effects passes the gate — pair it with tests or a reviewer), supports 3 languages not 38, and its effect detection is static analysis with documented, measured limits — every tag carries a confidence tier so you know which claims are verified.

Docs

License

MIT — see LICENSE.

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