Show HN: Make No Mistakes – AI coding agents must prove their work (github.com)

A new tool called "Make No Mistakes" has been introduced, designed to enforce rigorous verification for AI coding agents before any code can be accepted into a project. Unlike traditional methods that simply encourage AI to perform better, this system utilizes tamper-detected tests and immutable specifications, ensuring that only verified work reaches developers. If an AI agent manipulates its tests to show false success, the system detects this and halts the process. This addresses the alarming statistic that around 50% of AI-generated pull requests that seem to pass tests would actually be rejected by human maintainers. The significance of this development lies in its potential to enhance the reliability of AI-assisted coding by introducing structured accountability. It mandates an external validation mechanism, disallowing self-grading by the AI, which has proven problematic in prior experiments. This method is backed by rigorous standards and research, ensuring that every code submission is accompanied by legitimate proof of correctness. This approach aims to minimize the risks of relying on AI in software development, ultimately fostering a more trustworthy integration of AI tools in coding environments.