AI tooling engineer. I build open-source tools that help AI agents write code that actually works.

Every project here addresses the same gap: AI-generated code looks right but breaks at runtime.

My tools make it checkable — before it reaches production.

An Agent Skill that stops AI-written code from being built on APIs that do not exist.

Six validation gates — from Python builtins to npm, PyPI, and Docker Hub — with a severity model, SARIF output, and CI integration.

Contract-drift monitoring for MCP servers and AI connectors.

Snapshot, diff, judge, report — deterministic and reproducible. Catches breaking changes before they break your integration.

Generate a compressed, AI-ready context pack for any codebase.

Architecture, endpoints (20+ frameworks), dependencies, TODOs, security findings, conventions — as Markdown, JSON, or a paste-ready prompt. Zero dependencies.

Python Git GitHub Actions CLI tools REST APIs LLM / AI agents Prompt engineering Static analysis Security scanning

• Every public repo ships with tests, documentation, and CI.
• Images are rendered and inspected before they are committed — a broken image is the first thing a visitor sees.
• Version tags are immutable; releases include changelogs.

Ideas, issues, and PRs welcome.