gavel
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Code quality platform for Bazel monorepos — static analyzers as aspects, SARIF, quality gates
Gavel
Bazel builds your monorepo. Gavel judges it. Order in the codebase!
The quality gate for Bazel monorepos — build-graph-native, local, agent-ready.
Your monorepo builds green. That's not the same as innocent. Gavel gathers the
evidence as Bazel aspects, holds every change to the law you set in gavel.yaml,
and returns a verdict: the regression you just introduced stands charged, while a
decade of existing debt is not on trial. One verdict, handed to your CI, your
terminal, and your coding agent alike.
gavel init # open the case
gavel judge # hear it

Install
# Homebrew — macOS & Linux
brew install gavelcode/tap/gavel
# or the install script — Linux, CI, Docker
curl -fsSL https://raw.githubusercontent.com/gavelcode/gavel/main/install.sh | sh
Prebuilt binaries for every platform are on the releases page.
Gavel needs a Bazel 8.0+ (bzlmod) workspace; verify with gavel --version.
bazel build //apps/cli/cmd/gavel
# binary at bazel-bin/apps/cli/cmd/gavel/gavel_/gavel
How it works
Every change gets its day in court.
1. The evidence comes from the build graph
Analyzers — golangci-lint, PMD, CPD, SpotBugs, Error Prone, Ruff, Bandit,
ESLint, Clippy — run as Bazel aspects. They see the exact source tree,
dependency graph, and toolchains Bazel already resolves; no separate scanner, no
second config to drift. SonarQube re-scans the world; Gavel looks only at the
targets the graph says changed (--affected), so a run stays fast as the
monorepo grows. Every tool, every language, normalized to one format: SARIF.
2. You're only tried for what you changed
gavel.yaml is the quality gate — code, reviewed and versioned with the
repo, not clicked into a web UI. It evaluates only what you just added against a
committed baseline: new findings, coverage regressions, new architecture
violations. Adopt Gavel on ten years of debt and it blocks on today's diff,
never on the backlog.
projects:
- name: payments
pattern: "//payments/..."
tooling:
go: [golangci-lint, archtest]
quality_gate:
findings: { max_error: 0 }
coverage: { min: 80 }
architecture_violations: { max: 0 }
Every run saves a fingerprint snapshot; the next shows the delta — new, fixed,
existing — plus the coverage trend. No server required.
payments/api/handler.go:42 error null check missing golangci-lint:nilerr NEW
⚖ VERDICT: FAIL — code_quality
1 new · 8 fixed · 31 existing coverage 73.5% (↑5.0%) architecture PASS
3. A verdict your coding agent can request
Coding agents write code they can't see the consequences of — a lint regression,
a coverage drop, a layering violation land three commits later in CI. gavel mcp
starts a Model Context Protocol server that
exposes judge, lint_file, findings, coverage, and arch as tools. Point
Claude Code, Cursor, or Zed at it and the agent checks its own work against the
same Bazel-aware gate as it writes — a quality conscience, inline.
For editors and dashboards, gavel watch re-analyzes on every save and emits a
JSONL event stream. Both run fully local — no server, no network.
Gavel vs SonarQube: the case
| SonarQube | Gavel | |
|---|---|---|
| Build-graph awareness | None | Bazel aspects understand target dependencies |
| Monorepo model | One project, or a branch per project | Hierarchical: per-package, per-project, whole repo |
| Analysis scope | Full scan or file diff | Bazel-aware: changed files + affected targets |
| Local workflow | Server round-trip | Fully local, zero network |
| Coding-agent / editor loop | — | MCP server + watch event stream |
| Quality gate | Web-UI config | Code (gavel.yaml), versioned with the repo |
| Progress tracking | Server-backed | Local fingerprint snapshots, no infrastructure |
| Footprint | Java server + database + scanner | One static Go binary, runs inside Bazel |
SonarQube is a mature platform with fifteen years of rules behind it, and Gavel
isn't trying to replace it. Gavel answers a question SonarQube structurally
can't: which packages of my Bazel monorepo are healthy, and did this change
make one of them worse — where the build graph is the unit of analysis and the
inner loop is where quality is actually won.
Already running aspect's rules_lint?
Keep it. Gavel reads the SARIF it drops inbazel-bin/
(gavel judge --findings-source=rules_lint) and turns those reports into a
gate — baseline delta, coverage, architecture, verdict — the layer rules_lint
deliberately leaves to you.
Status
Alpha — v0.1.0. Under active development; APIs and config formats may change.
Gavel gates its own repository on every commit — it is its own first user.
Working today:
gavel init— scaffold config + Bazel integrationgavel judge— analyze, evaluate the gate, show findings and the deltagavel judge --project <name>·--quick·--summary·--affected— scope and shape the rungavel judge --absolute— evaluate all findings (release gates, nightly)gavel judge --json·--output-sarif report.sarif— structured output for CI, IDEs, GitHub Code Scanninggavel judge --server URL --token TOKEN— shared team baseline: fetch and submitgavel watch— re-analyze on change, emitting a JSONL event streamgavel mcp— Model Context Protocol server for editor / agent integrationgavel validate— check Bazel integration health- Baseline mode (default): fingerprint-based new/fixed/existing classification, committed to git for the team
- Analyzers: golangci-lint, PMD, CPD, SpotBugs, Error Prone, Ruff, Bandit, ESLint, Clippy
- Server (optional): web dashboard, centralized history, team baselines, API-token auth
Documentation
- Quickstart — from zero to a first verdict in five minutes
- Configuration —
gavel.yamlandarchitecture.yml, field by field - Baseline & delta — how new / fixed / existing is decided
- Server deployment — running
gavel-server - Full documentation index
Contributing
Issues and pull requests are welcome — see CONTRIBUTING.md and
our Code of Conduct. Security reports go through
SECURITY.md.
License
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