My last two posts here were about scoring free coding models before committing to them — build a small harness, run it, compare. But after a few rounds of that, a different question started bothering me more than raw code quality: what does the agent do when it decides my instructions aren't enough? There's been good discussion on DEV this week about giving AI agents more tools and what happens when the boundaries fail. That conversation is usually abstract. This post makes it concrete: a...