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CodeAnt AI

AI code review with built-in SAST, secret detection, and one-click fixes.

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About

CodeAnt AI is a code review platform that pairs AI pull-request reviews with a security layer: SAST scanning, infrastructure-as-code checks, software composition analysis, and secret detection run inline on every PR. It supports 30+ languages, lets teams define custom review rules in natural language, offers one-click auto-fixes, and can block merges on critical security findings. The company reports its customers cut review time roughly in half. Paid plans start around $10 per user per month with a free trial. It is a smaller, marketing-heavy vendor next to CodeRabbit, so treat the bigger claims as vendor numbers until you trial it.

What it can do

  • AI pull request reviews with summaries
  • SAST vulnerability scanning (SQL injection, XSS, and more)
  • Secret and credential detection
  • Infrastructure-as-code security checks
  • Dependency (SCA) scanning
  • One-click auto-fixes for detected issues
  • PR merge blocking on critical findings
  • Custom natural-language review rules
  • Centralized code health dashboard

Setup

  1. Sign up at codeant.ai and connect GitHub, GitLab, Bitbucket, or Azure DevOps.
  2. Pick repositories and set quality plus security thresholds.
  3. Write custom rules in natural language for team-specific standards.
  4. Reviews and security scans run automatically on each PR.

Prerequisites

A connected git host account; a CodeAnt AI account.

Use cases

codeautomation

Works with

Any agent (.md)

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: Growing mid-market adoption (reported customers include Good Glamm Group, Tata 1mg); smaller footprint than CodeRabbit.; Actively maintained with regular feature updates through 2026.; Closed-source commercial product; no public repository.; Honest caveat: marketing-heavy claims (e.g. review-time reduction figures are customer-reported); trial before trusting benchmarks.. License: Proprietary SaaS; no public source license..

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.0/10
Maintenance · recency, releases, issue load
7.0/10
Openness · license + docs
2.0/10
Manual review · sanity read + red-flag check
6.0/10
  • · Growing mid-market adoption (reported customers include Good Glamm Group, Tata 1mg); smaller footprint than CodeRabbit.
  • · Actively maintained with regular feature updates through 2026.
  • · Closed-source commercial product; no public repository.
  • · Honest caveat: marketing-heavy claims (e.g. review-time reduction figures are customer-reported); trial before trusting benchmarks.

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.