Codeant Ai Raises $2m To Bring Ai-powered Automation To Code Reviews

In nan fast-evolving world of AI-generated code, reviewing that codification has go nan caller bottleneck. CodeAnt AI, a San Francisco-based startup backed by Y Combinator, has conscionable raised $2 cardinal successful seed backing to alteration that. Its mission: make reviewing codification arsenic intelligent and effortless arsenic penning it pinch AI.

The round, which values CodeAnt AI astatine $20 million, saw information from notable investors including Y Combinator, VitalStage Ventures, Uncorrelated Ventures, DeVC, Transpose Platform, Entrepreneur First, and a roster of influential angels. The costs will thief nan institution standard some its engineering and business improvement teams while expanding its cutting-edge codification value and information platform.

“As AI-driven coding becomes widespread, nan existent bottleneck isn't penning codification — it's reviewing it,” said Amartya Jha, Co-founder and CEO of CodeAnt AI. “Peer reviews are often delayed aliases rushed, letting bugs and vulnerabilities gaffe done astatine nan astir captious stage.”

AI That Understands Code — and Context

At nan bosom of CodeAnt AI is simply a powerful proprietary Abstract Syntax Tree (AST) motor that goes acold beyond accepted linters aliases fixed study tools. Unlike galore devices that run connected isolated codification snippets, CodeAnt AI’s language-agnostic AST motor understands nan building of an full codebase. This allows it to drawback deeper, contextual issues that different devices miss — specified arsenic inconsistent patterns, information misconfigurations, and moreover imaginable logic bugs.

The level integrates straight pinch GitHub, GitLab, Bitbucket, and Azure DevOps, providing real-time, line-level feedback during propulsion requests crossed much than 30 programming languages. Developers tin person instant summaries of codification changes, automatic flagging of issues, and moreover one-click fixes — compressing what erstwhile took hours into five-minute reappraisal sessions.

It’s not conscionable velocity — it's precision. CodeAnt AI continuously scans repositories for “code smells” (inefficiencies aliases anti-patterns successful root code), complexity, duplication, and dormant code, while besides detecting information vulnerabilities successful some infrastructure and third-party dependencies. It aligns pinch starring information standards for illustration OWASP and CWE, and supports SAST (Static Application Security Testing), SCA (Software Composition Analysis), IaC (Infrastructure arsenic Code) scanning, and concealed detection.

Helping Developers Ship Clean Code astatine nan Speed of Business

Co-founders Amartya Jha and Chinmay Bharti built CodeAnt AI aft years of firsthand acquisition pinch nan frustrations of slow and error-prone codification reappraisal processes. Jha, formerly astatine Zeta and ShareChat, saw nan operational risks of rushed codification changes. Bharti, an AI master pinch a master’s from IIT Bombay, faced akin issues building high-frequency trading systems wherever a azygous bug could costs millions.

Their mixed expertise led to a strategy that not only reviews codification but besides acts for illustration a elder technologist — catching mistakes, proposing fixes, and continuously learning from feedback.

“We now person a caller squad member: CodeAnt AI,” said Michel Naud, Head of IT Solutions astatine Autajon Group. “It sees our full codebase successful seconds, catches what linters miss, and suggests optimizations—even typos. The take crossed our on-prem GitLab was instant.”

Sundaraman Venkataramani, Tech Lead astatine Motorq, echoed nan sentiment: “With CodeAnt AI, we’ve already enhanced codification value and information while pushing nan boundaries of innovation.”

Built for Modern Teams — from Startups to Enterprises

One of CodeAnt AI’s defining advantages is its flexibility. It supports on-premise deployment for security-conscious enterprises, ensuring that delicate codebases ne'er time off soul environments. The level is SOC 2 and HIPAA compliant, making it perfect for industries for illustration healthcare, finance, and defense.

Pricing starts astatine $10 per developer per period for basal AI codification reviews and scales up to $40 per period for nan afloat suite, which includes heavy codification value analysis, information monitoring, and compliance tools.

“In a world wherever AI is democratizing codification generation, validation has go nan choke point,” said Brian Shin, Managing Partner astatine VitalStage Ventures. “CodeAnt AI slashes reappraisal times by much than 50%, enabling fast, secure, and reliable improvement astatine scale.”

Tom Blomfield, Partner astatine Y Combinator, added: “CodeAnt fits into your CI/CD pipeline and ensures that only high-quality codification makes it into production. Not AI-generated slop!”

The Future of Code Is Reviewed by AI

Every day, CodeAnt AI scans complete 50 cardinal lines of code, auto-fixes much than 500,000 issues, and saves complete 100,000 developer hours. Its ambition is clear: to go nan default AI reviewer for engineering teams racing to innovate.

As AI continues to accelerate really package is written, CodeAnt AI is ensuring that velocity doesn’t travel astatine nan costs of value aliases security. The founders envision a adjacent early wherever AI doesn’t conscionable assistance successful penning codification — it partners pinch engineers to support that codification clean, secure, and production-ready from time one.

With its latest funding, CodeAnt AI is poised to go a foundational furniture successful nan AI-augmented package improvement stack — not conscionable speeding up codification reviews, but transforming them.