CodeAnt AI, a startup backed by Y Combinator, has raised $2 million in seed funding to apply AI to the code review process. As AI accelerates code writing, the need for efficient code review has become a growing challenge. CodeAnt AI’s platform helps engineering teams cut manual review time and reduce bugs by over 50%.
The funding round, which values CodeAnt AI at $20 million, was led by Y Combinator, VitalStage Ventures, and Uncorrelated Ventures, with participation from DeVC, Transpose Platform, Entrepreneur First, and several angel investors. The funds will be used to expand the engineering and business development teams and scale the company’s code quality and application security platform.
CodeAnt AI integrates with GitHub, GitLab, Bitbucket, and Azure DevOps, providing developers with real-time feedback on their code in over 30 programming languages. The system identifies problems and suggests fixes that can be applied with a single click, significantly reducing review time and improving code quality. According to the company, fixing issues at the review stage costs ten times less than addressing them later during CI/CD or after deployment.
The company was founded by Amartya Jha and Chinmay Bharti. Jha, previously at Zeta and ShareChat, saw firsthand how critical bugs could slip through reviews. Bharti, with an AI background from IIT Bombay and experience at Blu Analytics, faced similar challenges in high-frequency trading software. Together, they developed CodeAnt AI, which was accepted into Y Combinator.
CodeAnt AI’s core technology includes a proprietary, language-agnostic abstract syntax tree (AST) engine that understands code connections across a project, detecting issues that standard reviews might miss. It also integrates data from major security databases and allows organizations to apply custom rules. For companies with strict security needs, the platform can run entirely within their infrastructure.