CodeAnt AI has just raised a $2 million seed round to take on a growing challenge in today’s software development landscape: AI is helping engineers write more code, but reviewing that code is becoming the bottleneck. With mounting pressure to ship fast and stay secure, CodeAnt AI’s platform offers a faster, smarter way to review and validate code before it reaches production.
Backed by Y Combinator, Brian Shin, Uncorrelated Ventures, and others, the round gives CodeAnt AI a $20 million valuation and the firepower to expand its team and platform. The startup promises to cut code review time by more than 50%, reduce bugs and security issues, and integrate effortlessly into the workflows developers already use.
Founded in 2023 by Amartya Jha and Chinmay Bharti, CodeAnt AI was born from personal pain. The duo, with deep experience in infrastructure engineering and AI, knew the cost of bugs slipping through peer review. As codebases balloon and teams scale, manual reviews become slower, less effective, and harder to manage. Their answer: an AI-powered code quality and security platform designed for modern engineering teams.
AI May Write Code — But Human Review Is Still the Bottleneck
In many teams today, a pull request can sit idle for hours, even days, waiting for someone to review it. When a reviewer finally gets to it, they may lack the full context of the change, increasing the risk of bugs and security flaws making it into production. Most issues arise during peer review — the last point before deployment — when it’s still cheap and easy to fix them.
CodeAnt AI steps in at this critical moment. Its platform automates and enhances code reviews, scanning for bugs, security risks, dead code, and poor practices using a mix of large language models (LLMs) and a proprietary abstract syntax tree (AST) engine. The result? Teams can push high-quality code faster without compromising safety or reliability.
CEO Amartya Jha explains that as AI-generated code becomes more common, validation becomes the new bottleneck. CodeAnt AI ensures that the code being pushed is not just fast-written, but also well-reviewed, optimized, and secure.
What Sets CodeAnt AI Apart
The platform’s unique architecture is designed to understand code deeply — not just line-by-line, but across entire systems. Its language-agnostic AST engine maps how different parts of the codebase connect, enabling it to flag issues that typical linters or manual reviewers might miss.
It also syncs with top developer tools like GitHub, GitLab, Bitbucket, and Azure DevOps, providing instant feedback and fix suggestions across 30+ programming languages. Developers can apply suggestions with a single click, turning what used to be hour-long review cycles into streamlined, five-minute tasks.
For companies, this means fewer bugs in production, faster releases, and significant savings. Fixing issues during code review is at least ten times cheaper than correcting them later in CI/CD or post-deployment.
CodeAnt AI also caters to enterprise-level security needs. The platform can run entirely on-premises, ensuring no code ever leaves the company’s infrastructure — a crucial feature for privacy-conscious organizations.
Strong Investor Backing and Growing Traction
The seed round drew support from early backers including DeVC, Transpose Platform, Entrepreneur First, and strategic angels like Brian Shin of Hubspot and Tom Blomfield of Y Combinator.
Tom Blomfield emphasized how essential code review is in the AI coding era: “With more and more code being generated by AI, review has never been more important. CodeAnt fits right into the CI/CD pipeline and ensures only high-quality code ships.”
Brian Shin added that CodeAnt is tackling a “critical, often overlooked” part of development. He believes the platform’s impact on speed, quality, and reliability will set a new standard for software teams globally.
Built for Today’s AI-First Development Environment
CodeAnt AI doesn’t just flag problems — it fixes them. It detects anti-patterns, complex functions, duplicate logic, and security flaws, then offers actionable fixes. Developers stay focused on building features, not firefighting bugs. Pricing starts at $10 per developer monthly for essential code review tools, scaling to $40 for the full suite with compliance and security.
The platform is already SOC 2 and HIPAA certified, with clients ranging from nimble startups to unicorns.
As AI reshapes software development, CodeAnt AI is positioned to solve a quiet but growing pain: the gap between fast code generation and slow, manual validation. By giving teams the confidence to move fast without breaking things, it’s paving the way for a new era of AI-assisted, high-trust software delivery.
