AI-assisted changes arrive faster than documentation, onboarding and cleanup can keep up. These articles cover keeping documentation accurate, onboarding a new engineer into a team that works through agents, recording why design decisions were made, getting a root cause instead of a plausible guess, and removing dead or duplicate generated code without breaking the application.
4 articles
How to get an AI assistant to investigate a fault instead of narrating a guess: sort reproduced facts from reported and assumed ones, test competing explanations with experiments that could rule them out, and agree what proves a root cause,…
Which design choices need a written record, where to keep it so people and coding agents find it while they work, how to supersede it without losing the reasoning, and how to tell an approved choice from an agent's plausible…
How to onboard an engineer into a team that works through AI agents: what to ask the repository and what to ask a teammate, a guided first change the newcomer owns, and an agent-off task that shows understanding rather than…
How to keep guides and examples true when AI-assisted changes keep the tests current: list what each change made untrue, run documented examples against the code, stamp each guide with the commit it was checked against, and a demonstration of…
