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A guard-railed, closed-loop workflow for AI coding agents: live state bus + execution-level hard intercepts for Claude Code and Codex (GitHub PR / GitLab MR). From step-level to requirement-level; eval-driven, spec-driven, human-in-the-loop.
AI-augmented QA platform for spec-driven development and testing, RAG-grounded analysis, eval-driven development and contract validation across Python, Go, Rust and Solidity.
Multi-agent inspection pipeline for solar cell EL images: EfficientNet-B0 severity classifier + Qwen3-VL (Ollama) reasoning, served via FastAPI. 75.3% on a 20-criteria eval suite.
Companion code for the talk "Managing Production Agents at Scale — from Chaos to Reliability". One Google ADK agent, three production failure modes: eval-driven development, resilience, and zero-trust on Vertex AI.
Eval-first plugin builder for Claude Code — the eval suite is the contract; green is the definition of done. Primitive decision records, generated eval suites with arming gates, sha256-frozen contracts, goal-loop builds in isolated worktrees, verified ships.
Catch LLM quality regressions before they reach production — eval-driven CI/CD with LLM-as-Judge scoring, Wilson 95% CI diffing, and automatic PR alerts.