hyhmrright/brooks-lint

Description and use

**Brief Summary**
*brooks‑lint* is an open‑source AI‑powered code‑review tool that evaluates source files against the “12 classic engineering books” framework, attaching book‑based citations, severity labels, and offering six analysis modes—including a full‑sweep automatic‑fix pass. It stitches together isolated prompts and utilities into repeatable, multi‑agent workflows, making the review process both prescriptive and auditable.

**Value**

• **Knowledge‑backed diagnostics** – By grounding every finding in a concrete engineering principle (with a citation to the source book), developers get actionable, trustworthy guidance instead of vague AI suggestions.
• **Standardised agent pipelines** – The project abstracts prompts, tool calls, and memory handling into reusable agents, letting teams build complex review‑orchestration flows without reinventing glue code.
• **Automation & remediation** – The “full‑sweep auto‑fix” mode can automatically apply low‑risk fixes, accelerating the feedback loop and reducing manual toil.

**Practical Adoption Path**

1. **Pilot the CLI/SDK** – Clone the repo, run the provided CLI on a small codebase to see the citation‑rich report and auto‑fix behaviour.
2. **Integrate into CI** – Wrap the CLI (or invoke the SDK) in a CI step (GitHub Actions, GitLab CI, Jenkins, etc.) to enforce the six analysis modes on every PR.
3. **Extend with custom agents** – Use the exposed API to add project‑specific prompts or additional tools (e.g., static analysers, secret scanners) and store intermediate results in the built‑in memory store.
4. **Scale to multi‑repo orchestration** – Deploy the tool as a microservice or container that other internal bots can call, enabling coordinated multi‑agent workflows across repositories.

**Production‑Readiness**

• **Activity & community** – 130 ★, recent commits (last update 2026‑05‑13), and a healthy set of topics indicate an active codebase.
• **Technical maturity** – Provides clear integration points (CLI, SDK, API), language metadata (JavaScript), and a modular architecture suitable for enterprise pipelines.
• **Risk profile** – No obvious licensing or security red flags yet; a final review of the license and maintainer activity is advisable, but the project is solid enough for a serious pilot in production environments.

Overall, *brooks‑lint* offers a compelling blend of AI insight and engineering rigor, with a straightforward path from proof‑of‑concept to production‑grade CI integration.

Use in a workflow

hyhmrright/brooks-lint helps turn isolated prompts and tools into repeatable agent workflows.

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.