Within the fast-evolving world of AI-generated code, reviewing that code has grow to be the brand new bottleneck. CodeAnt AI, a San Francisco-based startup backed by Y Combinator, has simply raised $2 million in seed funding to vary that. Its mission: make reviewing code as clever and easy as writing it with AI.
The spherical, which values CodeAnt AI at $20 million, noticed participation from notable traders together with Y Combinator, VitalStage Ventures, Uncorrelated Ventures, DeVC, Transpose Platform, Entrepreneur First, and a roster of influential angels. The funds will assist the corporate scale each its engineering and enterprise growth groups whereas increasing its cutting-edge code high quality and safety platform.
“As AI-driven coding turns into widespread, the actual bottleneck is not writing code — it is reviewing it,” mentioned Amartya Jha, Co-founder and CEO of CodeAnt AI. “Peer opinions are sometimes delayed or rushed, letting bugs and vulnerabilities slip by on the most important stage.”
AI That Understands Code — and Context
On the coronary heart of CodeAnt AI is a robust proprietary Summary Syntax Tree (AST) engine that goes far past conventional linters or static evaluation instruments. In contrast to many instruments that function on remoted code snippets, CodeAnt AI’s language-agnostic AST engine understands the construction of a complete codebase. This permits it to catch deeper, contextual points that different instruments miss — reminiscent of inconsistent patterns, safety misconfigurations, and even potential logic bugs.
The platform integrates straight with GitHub, GitLab, Bitbucket, and Azure DevOps, offering real-time, line-level suggestions throughout pull requests throughout greater than 30 programming languages. Builders can obtain immediate summaries of code modifications, automated flagging of points, and even one-click fixes — compressing what as soon as took hours into five-minute assessment periods.
It’s not simply pace — it is precision. CodeAnt AI repeatedly scans repositories for “code smells” (inefficiencies or anti-patterns in supply code), complexity, duplication, and lifeless code, whereas additionally detecting safety vulnerabilities in each infrastructure and third-party dependencies. It aligns with main safety requirements like OWASP and CWE, and helps SAST (Static Software Safety Testing), SCA (Software program Composition Evaluation), IaC (Infrastructure as Code) scanning, and secret detection.
Serving to Builders Ship Clear Code on the Pace of Enterprise
Co-founders Amartya Jha and Chinmay Bharti constructed CodeAnt AI after years of firsthand expertise with the frustrations of sluggish and error-prone code assessment processes. Jha, previously at Zeta and ShareChat, noticed the operational dangers of rushed code modifications. Bharti, an AI knowledgeable with a grasp’s from IIT Bombay, confronted related points constructing high-frequency buying and selling techniques the place a single bug might price hundreds of thousands.
Their mixed experience led to a system that not solely opinions code but additionally acts like a senior engineer — catching errors, proposing fixes, and repeatedly studying from suggestions.
“We now have a brand new staff member: CodeAnt AI,” mentioned Michel Naud, Head of IT Options at Autajon Group. “It sees our whole codebase in seconds, catches what linters miss, and suggests optimizations—even typos. The adoption throughout our on-prem GitLab was immediate.”
Sundaraman Venkataramani, Tech Lead at Motorq, echoed the sentiment: “With CodeAnt AI, we’ve already enhanced code high quality and safety whereas pushing the boundaries of innovation.”
Constructed for Trendy Groups — from Startups to Enterprises
Certainly one of CodeAnt AI’s defining benefits is its flexibility. It helps on-premise deployment for security-conscious enterprises, guaranteeing that delicate codebases by no means go away inside environments. The platform is SOC 2 and HIPAA compliant, making it very best for industries like healthcare, finance, and protection.
Pricing begins at $10 per developer monthly for primary AI code opinions and scales as much as $40 monthly for the total suite, which incorporates deep code high quality evaluation, safety monitoring, and compliance instruments.
“In a world the place AI is democratizing code technology, validation has grow to be the choke level,” mentioned Brian Shin, Managing Companion at VitalStage Ventures. “CodeAnt AI slashes assessment occasions by greater than 50%, enabling quick, safe, and dependable growth at scale.”
Tom Blomfield, Companion at Y Combinator, added: “CodeAnt matches into your CI/CD pipeline and ensures that solely high-quality code makes it into manufacturing. Not AI-generated slop!”
The Way forward for Code Is Reviewed by AI
Each day, CodeAnt AI scans over 50 million strains of code, auto-fixes greater than 500,000 points, and saves over 100,000 developer hours. Its ambition is evident: to grow to be the default AI reviewer for engineering groups racing to innovate.
As AI continues to speed up how software program is written, CodeAnt AI is guaranteeing that pace doesn’t come at the price of high quality or safety. The founders envision a close to future the place AI doesn’t simply help in writing code — it companions with engineers to maintain that code clear, safe, and production-ready from day one.
With its newest funding, CodeAnt AI is poised to grow to be a foundational layer within the AI-augmented software program growth stack — not simply dashing up code opinions, however reworking them.
