$2m to tackle AI slop
A US startup has raised $2m for a tool that uses AI to review code that has been written by AI.
Engineering teams face pressure to ship code quickly without compromising quality, and are using AI tools to write that code. This can avoid AI generated ‘slop’, says one investor, as well as speed up code reviews with one click solutions to problems.
“As AI-driven coding becomes widespread, the real bottleneck isn’t writing code — it’s reviewing it,” said Amartya Jha, Co-founder and CEO of CodeAnt AI in San Francisco, California. “Today, when a developer submits a change request, it often sits idle for hours or even days waiting for peer review. And even when a reviewer does pick it up, they rarely have full context of the code change. This is a critical risk point: most software bugs and vulnerabilities slip through at the peer review stage, where issues could have been caught early and cheaply.”
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The CodeAnt tool integrates with platforms like GitHub and Bitbucket, providing instant feedback across 30+ programming languages. It identifies issues and suggests fixes, turning lengthy reviews into quick sessions.
The company built a proprietary language-agnostic Abstract Syntax Tree (AST) engine that understands how different parts of a codebase connect, letting it spot issues that isolated code reviews would miss. The platform also pulls in data from major security databases and lets companies set up their own rules based on their specific needs.
For security-conscious organizations, CodeAnt AI can run entirely within their own infrastructure, ensuring code never leaves their environment.
“In today’s AI-driven environment, enterprises need solutions that either replace aging systems or deliver clear productivity gains,” added Jha. “CodeAnt AI is built to do both — helping companies move faster and stay competitive without compromising on security or code quality.”
The tool also suggests fixes that developers can apply with a single click, turning reviews that used to take hours into proactive quick, five-minute sessions. This can mean fewer delays and higher quality code. This can cut manual code review time and bugs by over 50% says the company.
It also means cost savings as fixing problems during code reviews costs 10x less compared to fixing them later during CI/CD or after production deployments.
The funding for 10% of the company will be used to expand the engineering and business development teams and to scale CodeAnt AI’s code quality and application security platform.
“We now have a new team member: CodeAnt AI. It sees our entire codebase in seconds, catches what linters miss, and suggests optimizations, refactors, even typos. It’s fully integrated into our on-prem GitLab — and the whole team adopted it instantly” said Michel Naud, Head of IT Solutions, Autajon Group. While, Sundaraman Venkataramani, Tech Lead at Motorq added:“At Motorq, speed, quality and precision are paramount. CodeAnt AI’s Agile team mirrors our fast-paced environment, delivering rapid iterations and responsive support. Their AI-driven code reviews, real-time feedback and robust security features have streamlined our development process allowing us to focus on core domain challenges. With CodeAnt AI, We’ve already been able to enhance code quality, security and are pushing our boundaries of innovation”.
The funding round was led by Y Combinator, VitalStage Ventures, and Uncorrelated Ventures, and with participation from DeVC, Transpose Platform, Entrepreneur First, and a number of angel investors.
“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
Pricing starts at $10 per developer per month for the basic AI code review features, with a full package including code quality, security, and compliance tools available for $40 per developer per month.
“CodeAnt AI is redefining one of the most critical — and often overlooked — parts of modern software development: the code review. In a world where AI is rapidly democratizing code generation, the bottleneck has shifted to validation. CodeAnt’s platform slashes review time by over 50%, ensuring not just speed, but quality, security, and reliability at scale,” said early investor at Hubspot Brian Shin, Managing Partner for VitalStage Ventures.
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