jikime-workflow-eval

Eval-driven development (EDD) is a framework that treats evaluations as unit tests to measure reliability and quality in AI-assisted software development, ensuring code adheres to predefined specifications before implementation.

You can define and run regression testing by creating regression evals that verify new AI-assisted features do not break existing functionality, utilizing automated grading through code, model, LSP, and human review mechanisms.

Yes, the EDD framework supports automated grading for quality assurance evaluations by utilizing multiple assessment methods including code execution, AI model evaluation, Language Server Protocol checks, and human review.

Yes, the EDD framework integrates directly with SPEC and DDD methodologies to support structured software development and migration workflows, ensuring evaluations align with your existing domain-driven design specifications.

You can create a capability evaluation by defining success criteria before implementation, using commands like the auto-suggest feature to automatically generate evaluation parameters that verify authentication requirements are fully met.

The best way to ensure AI-generated code meets requirements is implementing an EDD framework that defines capability and quality evals as unit tests, measuring reliability and adherence to specifications through automated grading.