Real-world tests, not proxy scores, are the key to evaluating coding agents
The New Stack piece argues that AI coding agents should be judged by executing their output: does it build, pass existing and hidden tests, keep API contracts, handle migrations, meet performance limits, stay in scope, and clear static‑analysis checks. This behavior‑first framework replaces brittle diff‑matching and makes agents trustworthy in CI pipelines.