Team updates process for AI coding agents

The author argues that using AI coding agents requires managing context as a limited budget and restructuring development processes around explicit human checkpoints. By separating durable repository instructions from task-specific specifications and protecting approved tests from being weakened by implementation agents, teams can prevent silent failures and review bottlenecks. Open article →