This article argues that free, large token allowances from AI coding tools should be treated as sandboxes for risk experimentation rather than unlimited headroom. The author suggests a "pre-mortem" exercise, where potential failure modes are identified and tested using a small portion of the free allowance. This approach helps teams proactively address issues like unchecked review backlogs and human over-reliance on AI outputs, which are often more critical than the model's capacity itself. AI
IMPACT Suggests a workflow strategy for developers using AI coding assistants to manage review debt and potential failure modes.
RANK_REASON Article provides an opinion/strategy piece on using AI tools, not a release or significant industry event.
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