ai-factory.evolve

Self-improving AI skills work by analyzing project context, past patches, and codebase patterns to refine instructions. This mechanism learns from recurring errors, like null-pointer exceptions, to automatically update coding skills with specific checks.

You can automatically update AI code review skills by running an enhancement process that analyzes accumulated patches and past errors. This refines the skill instructions to include specific checks, such as verifying null values before property access.

Yes, AI skill enhancement requires glob, grep, bash, and read/write/edit tools for file system interaction and code manipulation. These tools enable the scripts to analyze the codebase and apply necessary refinements to skill instructions.

You need continuous AI adaptation when your project requires ongoing refinement of automated coding assistance. This ensures AI skills remain effective by learning from errors and adapting to evolving project conventions, tech stack, and architecture over time.

The best way to improve AI Factory skills for a specific tech stack is analyzing project context and codebase patterns to automatically refine skill instructions. This contextual adaptation ensures the AI aligns with your project's specific architecture and coding standards.