Tag:ai-engineering
All the articles with the tag "ai-engineering".
One Prompt, Thirty-Two Calls, or Seven
Batching an LLM checklist coarsens the calls and forces the retrieval finer, in the same design. A seeded simulation of three call shapes, the pigeonhole that decides what a grouped call can even see, and the omission that used to come back as a severe finding.
The Constant Nobody Could Re-Measure
A magic number survives because there is nothing to re-measure it against. The calibration set is usually already in a log you throw away, the same data sets the noise floor that makes any result readable, and the estimator you fix is rarely where the error was.
From Brief to Rendered Animation: Making an AI Media Pipeline Inspectable
A failed scene edit shows why reliable AI video systems need approved scripts, timed artifacts, deterministic fallbacks, and media read-back.
I Stopped Prompting Claude Code and Started Engineering the Loop
A green test suite missed an integration seam; a frozen mutation experiment shows how repository rules, executable checks, scoped review, and replay state make agentic work more inspectable.