翻訳待ち：Bubo: AI code-reviewer that learns from review comments

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。

Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Folders and files NameName Last commit message Last commit date Latest commit History 183 Commits 183 Commits .github .github assets assets benchmarks benchmarks bin bin config config deploy/templates deploy/templates docs docs plugins/superpowers plugins/superpowers prompts prompts skills/code-reviewer skills/code-reviewer src/bubo src/bubo tests tests ui ui .dockerignore .dockerignore .gitignore .gitignore .pre-commit-config.yaml .pre-commit-config.yaml .release-please-manifest.json .release-please-manifest.json CHANGELOG.md CHANGELOG.md CODE_OF_CONDUCT.md CODE_OF_CONDUCT.md CONTRIBUTING.md CONTRIBUTING.md Dockerfile Dockerfile LICENSE LICENSE README.md README.md SECURITY.md SECURITY.md SUPPORT.md SUPPORT.md action.yml action.yml pyproject.toml pyproject.toml release-please-config.json release-please-config.json uv.lock uv.lock Repository files navigation Agentic AI code review with the LLM of your choice. Bubo reviews your GitLab MRs and GitHub PRs with the model you run, and posts only the findings worth acting on as inline threads — no chatbot noise, no praise, no summaries. Self-hosted — code, diffs, and review data stay on your infrastructure Bring-your-own-LLM — Codex, Claude, or any model your CLI drives SCM — Currently supports Gitlab and Github findings — Inline or "all good" if clean Governance, provenance & an auditable on-prem report - cosign-signed releases with SBOMs Metrics — Opentelemetry Full documentation → mountainowl.github.io/bubo Install uv tool install bubo # or: pipx install bubo bubo init # idempotent; seeds config + workspace + DB bubo doctor # verify before the first poll bubo-poller # one poll cycle — dry-run by default, posts nothing Prefer a container? docker pull ghcr.io/mountainowl/bubo (multi-arch; the review-agent CLI is BYO). Continue with the recipes and quickstart. Documentation Everything lives on the docs site — this README is just the front door. Recipes Copy-paste GitLab / GitHub / in-house-model setups. Features The full capability list. Configuration Every setting, per section, plus a quick-start config. Operate Deploy, schedule, grade outcomes, governance report. Troubleshooting Host / infra fixes (sandbox, AppArmor). Metrics & telemetry Emitted llm_review.* metrics and dashboards. Status GitLab & GitHub posting via polling — production path, at outcome-metric parity. Set [scm].provider = "github" (or BUBO_PROVIDER=github). MCP server (bubo-mcp) — read-only metrics + triggered reviews; stdio or HTTP. Codex or Claude — Bubo runs the review through a wrapper around your agent CLI; Codex ships pre-wired. Webhook-driven triggering — not yet; polling is the only path. Review execution sits outside CI/CD by design — run it as a poller beside your existing pipelines. Security config/env.toml is gitignored and holds tokens. Do not print or commit real values. Review-agent stdout is redacted (GITLAB_TOKEN=, OPENAI_API_KEY=, glpat-…, sk-…, credentialed Git URLs) before it touches reports, logs, or the database. The reviewer subprocess runs under a strict env allowlist — host secrets aren't handed wholesale to the LLM agent. Releases are cosign-signed via Sigstore keyless OIDC, with an SBOM on every release. Report vulnerabilities per SECURITY.md. Community Contributing · Security policy · Support · Code of conduct · License: MIT Topics Resources Readme MIT license Code of conduct Code of conduct Contributing Contributing Security policy Security policy Activity Stars 1 star Watchers 0 watching Forks 0 forks Report repository