Production-grade weather application with a Flask web UI, CLI tool and high-performance FastAPI api, featuring Redis caching, PostgreSQL persistence, and fully automated Docker/CI workflows. Also distributed as the weatherender PyPI package.
8-phase evidence pipeline for Playwright, pytest, Jest, Cypress, Newman, k6, and JUnit failures. Scans git history, application logs, and config to produce confidence-scored root-cause hypotheses. Exposes as MCP server, CLI, and streaming web UI.
