Enforces test-driven development workflows by requiring failing tests before implementing behavioral code changes.
Trust Layer TDD is a specialized Claude Code skill designed to integrate rigorous Test-Driven Development (TDD) principles into your AI-assisted coding workflow. It acts as a safety layer that mandates the creation of tests prior to any behavioral modifications, ensuring that every change is backed by a proof of correctness. By triggering a structured debug protocol upon test failure and preventing the integration of untested code, this skill minimizes regressions and improves overall software reliability during automated development sessions.
Características Principales
01Strict Test-First Enforcement
02Code Integrity Guardrails
03Iterative Green-Light Validation
040 GitHub stars
05Automated Debugging Workflows
06Proof of Correctness Verification
Casos de Uso
01Ensuring new feature development meets specific technical requirements through failing tests.
02Standardizing TDD practices across an AI-driven development pipeline.
03Preventing regressions when refactoring complex legacy codebases.