CodeAnt AI
CodeAnt AI, Inc. · Coding
CodeAnt AI is an AI code review and code security platform. It reviews pull requests, scans dependencies and cloud configs, and runs AI pentests on live apps.
About CodeAnt AI
What Is CodeAnt AI
CodeAnt AI is a developer security product from CodeAnt AI, Inc. in San Francisco. It launched in 2023 as an AI code review tool for pull requests and grew into a code quality platform as well, with metrics, quality gates, SAST and SCA scanning, cloud checks and AI pentesting.
The customer is an engineering team that ships fast and can't read every diff. Code review automation handles the routine ones. The same system also tests what an attacker can reach from outside, so a finding arrives with a root cause and a fix path instead of a raw alert.
Scope is the catch. You need a Git host it supports, and the cloud and runtime checks only work once you hand over access to those systems. A team that wants a plain linter with fixed rules will pay for a lot it never opens.
Getting Started
- Sign up at app.codeant.ai with a work email and start the 14-day trial. No card needed.
- Connect GitHub, GitLab, Bitbucket or Azure DevOps. Pick the repos, then choose cloud or on-premises deployment.
- Set quality gates and rule sets so only clean code merges. Rules follow your team's conventions, and the AI learnings layer adjusts them over time.
- Open a pull request. CodeAnt posts a summary and inline comments, and you can ask follow-up questions in the PR chat.
- Add pentesting or cloud scans when you're ready. External tests start from domains you approve and need no repo access.
Product Information
A quick look at CodeAnt AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Engineering teams of 10 to 500 developers
- Security engineers at small companies
- Platform and DevOps teams
- Open source maintainers
Tasks
- Reviewing a large pull request
- Auditing dependencies
- Answering a security questionnaire
- Testing a web app before launch
Scenarios
- A release week with 40 open PRs and two reviewers
- A security review from an enterprise buyer before a deal closes
- Splitting a monolith into services
Key features
Inline pull request review
CodeAnt reads the full repo, not just the diff, and leaves line-level comments inside the PR. Each comment carries a suggested fix you can commit from the thread. Teams coming from pattern-based linters usually notice the drop in noise first.
PR summaries and sequence diagrams
Every pull request gets a written summary of what changed and why. When a change touches several services, a sequence diagram traces the call path before merge. Handy when the author is out and nobody remembers the flow.
Code security scanning
One pipeline covers static code analysis, SAST, SCA and dependency risk, leaked secrets, SBOM generation and malware checks in packages. Findings land in the same review flow, so a vulnerable dependency blocks a merge instead of sitting in a dashboard nobody opens.
Quality gates and code quality metrics
You define what clean means: complexity ceilings, duplicate code, dead code, test coverage. Quality gates enforce it on every merge. Developer 360 adds DORA metrics and PDF reports for managers who have to report upward.
AI pentesting and attack surface monitoring
CodeAnt tests running apps and APIs from the outside, maps exploit paths and writes remediation steps. Scans cover the OWASP Top 10. Attack surface monitoring runs all year rather than once, which is the gap an annual pentest leaves.
Cloud and infrastructure checks
CSPM, IaC scanning, Kubernetes configs, container images and virtual machines get checked for misconfigurations and known vulnerable components. This is the part that needs credentials, so plan the access review before rollout.
Pros and cons
Pros
- Review, security and pentesting share one account, so findings don't need reconciling across three vendors.
- Full-repo context cuts false positives compared with pattern matching. That matters once a team starts ignoring alerts.
- On-premises deployment and SOC 2 Type II cover the procurement questions that kill smaller tools.
- Pentests are free for open source, and low and medium findings stay free.
- IDE plugins for VS Code, Cursor, Windsurf and IntelliJ let developers fix issues before they push.
Cons
- Public pricing is thin. Plan prices sit behind a demo, so budgeting takes a sales call.
- Deep cloud and runtime coverage depends on access you may not want to grant a three-year-old vendor.
- Around 2,000 organizations use the code review product. That's small next to GitHub or SonarQube, so community answers are scarce.
- The product line moved fast from code review into pentesting, so naming and docs still shift between pages.
Frequently asked questions
It reviews pull requests, scans code and dependencies for security and quality problems, checks cloud configurations, and runs AI pentests on live applications. One account covers all four.
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