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CodeAnt AI

CodeAnt AI is a SaaS platform for AI code review, code quality gates and code security (SAST, SCA, secrets, IaC), plus pentesting, priced per developer.

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Introduction

CodeAnt AI’s site describes reviewing, securing and pentesting every change, from pull request to production. Its products include AI code review with line-by-line comments on every pull request, code quality with quality gates, coverage and dead-code detection, and code security covering SAST, SCA, secrets, SBOM and IaC.

It also offers black-box and white-box pentesting, attack-surface monitoring and cloud security for AWS, GCP and Azure, linking outside findings back to code.

In the quality loop CodeAnt combines AI review with static quality and security gates.

Features

  1. AI code review: Line-by-line PR comments.
  2. Quality gates: Coverage and dead code.
  3. SAST and SCA: Code and dependency security.
  4. Secrets and IaC: Additional scanners.
  5. Pentesting: Black-box and white-box tests.
  6. Cloud security: AWS, GCP and Azure.

Pros

  1. Broad bundle: Review, quality and security together.

Cons

  1. Many modules: Pricing per module adds up.
  2. Hosted: Cloud processing.
  3. AI accuracy: Findings need triage.
  1. Connect your Git provider and enable repositories.
  2. Turn on AI review and quality gates.
  3. Configure security scans and review findings in pull requests.

Resources:

Pricing

CodeAnt AI’s pricing page lists AI Code Review, Code Quality and Code Security each at $24 per developer per month, AI Code Review plus Code Security together at $40, open-source dependency scanning at $0, and a free trial.

  1. Teams consolidating review, quality and security tools.

Conclusion

CodeAnt AI bundles AI review with quality and security scanning.

Price the modules you actually need.

On CheckOps, CodeAnt AI is filed under the Release & CI gates and Security testing stages. Related tools listed here include CodeRabbit, PR-Agent, Greptile, Sourcery, Cursor Bugbot and GitHub Copilot code review. A short trial on a real project, with your own code, data and pipeline, is usually the fastest way to choose between them, because fit matters more than feature lists. Facts here come from the official site, documentation and repository, checked on 11 November 2026.

Alternatives

Other tools on CheckOps that cover similar ground. Open a page, or compare one with CodeAnt AI side by side.