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How CodeAnt is tackling code review bottlenecks created by AI

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The conversation around artificial intelligence (AI) often centres on its potential impact on coding jobs. However, the rise of AI-generated code has created a new challenge: maintaining code quality. Bengaluru and San Francisco-based CodeAnt AI is addressing this issue with its AI-powered platform that cuts manual code review time and bugs by more than 50%.

Founded by Amartya Jha and Chinmay Bharti in 2023, CodeAnt AI recently raised $2 million in seed funding from Y Combinator, Uncorrelated Ventures, and VitalStage Ventures. The funding values the startup at $20 million and will support building its sales team and expanding engineering verticals, Jha told ET.

The increasing volume of AI-generated code makes manual quality assurance a tedious task.


According to Jha, reviewing code manually can take hours, especially with large development teams. CodeAnt AI’s solution drastically reduces this process from hours to minutes by leveraging its proprietary language-agnostic AST engine. The platform understands the relationships between different parts of a codebase, identifying issues that isolated reviews might miss.


“If you have a team size of 100 developers, it takes at least three to five hours to even pick up a request to review. And then the review happens manually. Someone has to do a line-by-line check and approve it. What if this hours-and-days-long process can be reduced to minutes?” Jha said.

Adoption and integration

The platform is already in use at over 50 companies, including Akasa Air, Cyient, Bureau, Kuku FM, and several Fortune 1000 enterprises. CodeAnt AI’s solution can be integrated into GitHub, GitLab, Bitbucket, and Azure DevOps, providing instant feedback on code quality across more than 30 programming languages. For security-conscious organisations, the product runs within their infrastructure, ensuring that code never leaves their environment.

“With more and more code being generated by AI, code review has never been more important. CodeAnt fits into your CI/CD pipeline and ensures that only high-quality code makes it into production – not AI-generated slop,” said Tom Blomfield, partner at Y Combinator.

While some fear that AI will replace human coding jobs, Jha believes the technology will instead reshape roles. “Humans are not good at remembering stuff. They are good at analysing stuff. And that is why AI will always get better at writing code. Our jobs in the software industry will evolve, and we will all become quality engineers to ensure no bad code gets through,” he said.
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