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bailejl/README.md

Joe Bailey

Building AI-native CI/CD, LLM evaluation harnesses, and agentic developer tooling. AI in the loop.

Currently focused on:

  • AI-native CI/CD — agent-driven pipelines with eval gates
  • LLM evaluation systems — promptfoo-style harnesses wired into delivery
  • Agentic developer tooling — Claude Code plugins, MCP servers, multi-agent review loops
  • Operating-model design — value-stream-mapped delivery, telemetry-driven prioritization

What's public here

Repo What it is
dev-plugins Claude Code plugin marketplace with built-in evaluation harnesses
BDD-Driven-AI 5-year-old codebase modernized at 95% AI — with a journey log
Product-Outcomes Reference architecture: BDD-gated full-stack delivery

Most of my applied work lives in private repos. Reach out for a walkthrough.

Find me

Pinned Loading

  1. dev-plugins dev-plugins Public

    A Claude Code plugin marketplace with built-in promptfoo evaluation harnesses — every plugin ships with eval-gated CI before publish.

    JavaScript

  2. BDD-Driven-AI BDD-Driven-AI Public

    A 5-year-old reference codebase modernized at 95% AI (Claude Code) — with a 35-commit journey log of guardrails, failures, and outcomes.

    TypeScript

  3. Product-Outcomes Product-Outcomes Public

    Reference architecture for AI-augmented full-stack delivery with BDD acceptance gates — Nx monorepo, FP patterns, declarative Gherkin.

    TypeScript