AI-Powered SDLC Agent Platform

A multi-agent platform that turns a prompt into generated code, tests, a design document, and an audit trail — built for regulated teams starting new projects under contract. This is the debugging journal: append-only, honest about what broke, and specific about why.

5 posts Python Multi-Agent FastAPI Append-only journal 🔒 some sections gated
How to read this. Each post is one arc from the journal — a problem, what I thought it was, what it actually was, and the lesson that survived. Read them in order and a single pattern emerges: the primary mechanism is never the place to put the guarantee. The public halves make the argument; the gated halves show the code.
June – July 2026

A Cancel Button That Lies, and Retrieval That Returns Garbage Confidently

Two problems six weeks apart that turned out to be the same problem. A cancel button that stopped the UI but not the work. A search that confidently returned a table-of-contents fragment. Both fixed by refusing to make the primary mechanism smarter.

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May 2026

The Cache Trap: When a System Fails Identically Every Time

Two runs of the same prompt produced byte-identical test files — both containing a test that asserted a plus sign would lowercase to False. The system wasn't broken randomly. It was broken reproducibly, which is worse. Plus the architectural decision that removes a whole risk class.

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The Failure Mode Wasn't the LLM — It Was the Contracts Between Agents

Codegen wrote source and the tester independently guessed what was in it. The reviewer judged code it couldn't see. A fallback string became a project requirement and four stages built on top of it. Every implicit assumption between agents was a place a bug could hide.

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Most "AI Flakiness" Was Infrastructure Flakiness

I spent days convinced the model was the problem. Random hangs, empty error messages, runs dying mid-pipeline. It was a file watcher, a timeout, and an event loop policy. When part of your system is non-deterministic, every other bug gets to hide behind it.

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Building an AI-Powered SDLC Agent Platform — The Honest Build Log

Where it started. The architecture, the agent roster, the war stories. What it takes to build an agent platform for the software development lifecycle — and what I'd do differently.

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