Coding Agents Testing Patterns
Overview
Patterns and practices for testing AI coding agents — evaluating output quality, correctness, and reliability of generated code.
Key Patterns
- Eval-driven development: Write evaluations before prompts, similar to TDD
- Golden file testing: Compare agent output against known-good reference outputs
- Regression suites: Track agent behavior changes across model versions
- Human-in-the-loop validation: Structured review workflows for agent-generated code