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AI Developer Toolingprototype

codeflow-hook

Open-source AI code review CLI that runs pre-commit checks using specialized review agents for security, architecture, and quality feedback.

Case file

Main outcome

Published as a public npm package and GitHub repo.

Secondary signal

Demonstrates AI-assisted engineering workflow design rather than a one-off chat prompt.

Evidence count

3 proof points

01

Problem

Developers need fast review feedback before commits, but generic AI chat workflows are hard to automate and easy to separate from the actual git workflow.

02

Solution

Built a CLI-oriented pre-commit workflow that can run AI-assisted review passes, structure feedback for automation, and frame review agents around security, architecture, and code quality concerns.

03

Role

Open-source tool author · CLI workflow designer · AI-assisted review system implementer

Impact

  • Published as a public npm package and GitHub repo.
  • Demonstrates AI-assisted engineering workflow design rather than a one-off chat prompt.
  • Creates a foundation for local, privacy-oriented code review automation.

Technical Highlights

  • Git pre-commit hook workflow
  • CLI-first developer experience
  • Specialized review agents for security, architecture, and quality checks
  • Structured output suitable for automation
  • RAG/vector context experiments where repository context is available
  • Multi-provider AI integration experiments

Proof

  • Public npm package
  • Public GitHub repository
  • Portfolio and resume project alignment

Constraints

  • AI review output should support human judgment, not replace code ownership.
  • Secrets and private code should not be sent to providers without explicit user configuration.
  • Automated checks should be transparent and reversible in developer workflows.

Limitations

  • Prototype-stage developer tooling, not a replacement for CI, tests, or human review.
  • Quality depends on repository context, provider availability, and prompt configuration.

Roadmap

  • Add richer local-only mode documentation.
  • Add examples for structured JSON output in CI.
  • Add comparison docs for security, architecture, and quality review agents.
All Case StudiesProof-of-Work LabGitHubnpm

Next conversation

Let's make the next system less fragile.

Open to software engineering roles across full-stack systems, platform and reliability work, workflow automation, and applied AI. I value teams where I can keep learning while contributing to real systems and clear delivery outcomes.

Also open to freelance or contract work across full-stack builds, practical automation, technical SEO, and cloud delivery.

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