CodeAnt AI has raised $2 million in a seed round led by Y Combinator, Brian Shin, and Uncorrelated Ventures, with participation from DeVC, Transpose Platform, and Entrepreneur First. This round values the company at $20 million, and the funding will help expand the engineering and business development teams, further scaling its AI-driven code review platform. As AI-generated code becomes increasingly common, engineering teams are under growing pressure to ship faster without compromising quality, and CodeAnt AI code review provides a solution to streamline the process.
Tackling the Challenge of Slow and Error-Prone Code Reviews
Founded in 2023 by Amartya Jha and Chinmay Bharti, CodeAnt AI was created to address the inefficiencies in traditional code reviews. With fast-growing, complex codebases, manual reviews can become slow, repetitive, and prone to errors. This results in mounting technical debt and risks such as security vulnerabilities and bugs making their way into production.
“As AI-driven coding becomes widespread, the real bottleneck isn’t writing code — it’s reviewing it,” said Amartya Jha, Co-founder and CEO. Jha explained that CodeAnt AI code review helps mitigate this issue, enabling faster, more efficient reviews that reduce the likelihood of costly mistakes. The platform’s AI can quickly detect code flaws, automatically suggest fixes, and help ensure that quality code is deployed more quickly.
By automating the most tedious parts of the code review process, CodeAnt AI offers significant productivity gains for engineering teams. The platform’s proprietary language-agnostic Abstract Syntax Tree (AST) engine understands how various components of a codebase interconnect, identifying potential issues that traditional reviews might overlook.
CodeAnt AI also integrates seamlessly with popular developer tools and workflows, including GitHub, GitLab, Bitbucket, and Azure DevOps, allowing for real-time feedback on more than 30 programming languages. With just a click, developers can resolve issues like dead code, anti-patterns, security vulnerabilities, and overly complex functions.
A Unique Approach to Code Review with AI
What sets CodeAnt AI code review apart from others is its use of large language models (LLMs) and rule-based engines to analyze and optimize code for performance, scalability, and security. The platform offers real-time, AI-driven code review feedback, which helps developers make fixes in a fraction of the time it would take in traditional peer reviews. This process ensures that fewer bugs reach production, and that software security vulnerabilities are caught before they cause any harm.
For security-conscious organizations, CodeAnt AI can operate entirely within their infrastructure, ensuring that sensitive code never leaves the company’s environment.
The innovative approach taken by CodeAnt AI has been well-received in the industry. With its backing from investors like Y Combinator, the company is positioned to help organizations release higher-quality code faster. Brian Shin, early investor at Hubspot, commented: “CodeAnt AI is redefining one of the most critical parts of software development: the code review process. This leap ensures that engineering teams ship faster, with higher-quality code and more secure products.”
A Platform Designed for Speed, Security, and Reliability
As businesses demand faster product releases, CodeAnt AI code review reduces delays and increases code quality by automating the most error-prone parts of the review process. The AI-powered platform not only speeds up reviews but also improves security, reliability, and compliance, which ultimately results in significant cost savings.
Pricing for CodeAnt AI starts at $10 per developer per month for basic features, and a complete package, including code quality, security, and compliance tools, is available for $40 per developer per month.
As AI continues to change the way code is written, CodeAnt AI is paving the way for a future where code can be written faster and deployed with confidence. By ensuring that every line of code is secure, efficient, and ready for production, CodeAnt AI is giving engineering teams the confidence to move at the speed their businesses demand.
