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26 posts in the last 7 days
Skepticism in AI Coding Agent Testing
Developers are pushing back against standard green-build metrics for AI coding agents, warning that models writing both code and tests grade themselves through closed narratives. The discussion emphasizes rigorous evaluation through frozen oracles, argument-diff tracking, assumption ledgers, and strict retry budgets.
Key Areas of Focus:
- How can we reliably verify test suites when the AI agent authors both the code and the tests?
- What metrics, such as assumption ledgers and argument-diffs, should replace simple pass rates?
- How do hidden retry budgets and unconstrained tool calls distort coding-agent benchmark scores?
Active 1 day ago
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