Automated Auditing for AI-Generated Code

The rapid adoption of AI coding assistants has created a severe bottleneck in code review. AI generates code faster than human reviewers can read it, resulting in massive pull requests filled with hidden bugs, hallucinations, and security vulnerabilities. Senior engineers are losing hours untangling architectural dead-ends, while non-technical founders risk deploying insecure applications due to a lack of technical oversight.

The proliferation of autonomous coding agents and LLM-based IDEs over the last 12 months has shifted the developer bottleneck from writing code to reading and verifying it. As non-technical users increasingly build full applications, the need for automated guardrails against AI hallucinations and security flaws has become critical.

Rough estimate: The TAM encompasses the broader DevSecOps and code review market, historically valued in the billions. The SAM consists of teams and solo founders actively utilizing AI coding assistants, representing a rapidly growing segment. The SOM targets early adopters, specifically non-technical founders and overwhelmed engineering leads seeking automated PR audits.