A guardrail tool that enforces strict test-driven development and other engineering rules for AI coding agents
Use an automated validation layer to keep coding agents in a red-green-refactor cycle, prevent over-implementation, stop them from disabling lint rules, and require checks before changes are committed.
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From Modern Software Engineering — The Most Important AI Coding Advice You Haven't Heard Yet at 02:15
Problem: AI coding agents may skip TDD steps, over-implement solutions, disable lint rules, commit before running required checks, or write tests that do not provide sufficient confidence. Manual supervision is tedious and can allow bugs, unexpected behavior, undocumented assumptions, and unnecessary complexity.
For: Software developers and teams using AI coding agents who need confidence in agent-written code and want to supervise multiple agents without manually policing every step.
Examples
- RPG combat kata: the agent wrote a test that expected a magical sword's health to become four after use; Probity blocked an unnecessary use method that was not referenced and required a simpler implementation.
Behind this: 13 build steps · 4 tools and how each is used · how to validate demand · 5 things the video never answers.
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