VERITAS

ProofLoop is an AI-powered coding agent that addresses a critical problem in AI-assisted software development: generated code is often trusted without sufficient evidence that it actually works. AI coding tools can produce convincing implementations that contain logical errors, broken assumptions, or security vulnerabilities. Developers must spend additional time reviewing, testing, debugging, and correcting these outputs. ProofLoop introduces an evidence-first verification loop. It generates code from natural-language instructions, allows users to review and approve test cases, independently executes those tests against the exact generated implementation, identifies failures, and attempts automated repairs followed by re-verification. It also incorporates security analysis and vulnerability scanning. Instead of treating an AI-generated answer as a successful result, ProofLoop distinguishes between generated, failed, repaired, and verified implementations, recording evidence of the verification process. Our goal is to make AI-generated software more reliable, transparent, and accountable by ensuring that code is challenged and tested before it is trusted.