Agent-Rigor: AI Coding Discipline and Testing Framework
Agent-Rigor is an AI coding discipline and testing framework designed to enforce structured development practices. It focuses on improving code quality and reliability through automated testing and rigorous coding standards, targeting developers using AI-assisted programming tools.
Background
- Agent-Rigor is an open-source framework (hosted on GitHub by developer MeherBhaskar) designed to enforce disciplined coding and testing practices in AI-assisted software development.
- It addresses a growing problem: as developers rely more on AI code generators (like GitHub Copilot or Claude), the generated code often lacks structure, tests, and consistency. Agent-Rigor acts as a "linter" and test harness specifically for AI-produced code.
- The framework provides automated checks for code quality, test coverage, and adherence to specified coding conventions, helping teams maintain rigor when using AI tools to write software.
- This matters because AI-generated code is becoming ubiquitous in tech workplaces. Without guardrails like Agent-Rigor, teams risk shipping brittle, untested, or inconsistent code at higher velocity — trading long-term maintainability for short-term productivity.