CodeAnt AI vs DeepSource: Features, Pricing and User Reviews 2026

CodeAnt AI is a security platform that reviews your code and also tries to break into it, all in one place. It uses AI agents that study your code, your cloud setup, and your past commits to find real security holes instead of just flagging things that look risky.

It reviews every pull request, points out bugs and security issues with clear reasons, and suggests fixes you can apply with one click. It also runs full attack simulations to test what a real attacker could exploit, then feeds those results back into your code fixes.

CodeAnt AI works inside tools you already use, like GitHub, GitLab, VS Code, and Slack, so your team does not need to learn a new system.

There is a free 14 day trial, and paid plans start at $30 per user each month, with a custom Enterprise plan for larger teams.

DeepSource is a platform that reviews your code and helps you fix problems before they cause trouble. It checks every pull request against thousands of rules, then uses an AI agent to catch things that plain rules might miss.

Along with reviewing code, it looks for security bugs, exposed secrets, risky dependencies, and missing test coverage. When it finds a problem, it can suggest or even apply a fix automatically through a feature called Autofix.

DeepSource works with GitHub, GitLab, Bitbucket, and Azure DevOps, and connects to tools like Slack and Jira. It also has an MCP server so AI coding tools such as Claude Code and Cursor can read its reports and fix issues on their own.

There is a free plan for open source projects, a Team plan for paid usage, and a custom Enterprise plan with self hosted options for larger companies.