A lightweight, free alternative to CodeAnt AI
CodeAnt AI reviews pull requests before they merge and secures the codebase behind them, licensed per user per module. That is earlier in the cycle than any external scan can reach. What it does not do is check the site you actually shipped. FlawPilot is lightweight and free, and scans both.
Time to first result
CodeAnt AI
5 steps- Start the 14-day trial
- Connect GitHub, GitLab, Azure or Bitbucket
- Select repositories to review
- Configure PR review rules
- Add seats per module
FlawPilot
Done- Connect your repository
- Scan runs
- Ranked report
CodeAnt is SaaS and the trial needs no credit card. Modules are licensed separately per user per month, so the price depends on which of AI Code Review, Code Security, Code Quality and Dev Metrics you turn on. Open-source projects are free. Relative timings are illustrative, not measured benchmarks.
CodeAnt AI vs FlawPilot
Read from CodeAnt AI's own published material on 2026-09-08. Sources at the foot of this page.
| CodeAnt AI | FlawPilot | |
|---|---|---|
| Entry price | $24/user/month for AI Code Review | Free live scan |
| Free tier | 14-day free trial with no credit card required; free for open source | Live scan, no account or card |
| Setup | 5 steps | Paste a URL |
| Scans the deployed site | No | Yes |
| Scans your code | Yes | Yes |
| Ranked fix list | No | Yes |
CodeAnt publishes per-user pricing and licenses each module separately. AI Code Review is $24/user/month billed annually, or $30 billed monthly; Code Security, Code Quality and Dev Metrics are $20/user/month each. Enterprise pricing is custom. The 14-day trial needs no credit card, and open-source projects can receive 100% off.
Moving from CodeAnt AI
PR review and live-site scanning catch different things. Start by seeing the gap.
Add up the modules
AI Code Review, Code Security, Code Quality and Dev Metrics are licensed separately per user per month. Work out which ones you are actually paying for.
Scan the deployed site
A pull-request reviewer never sees the running result. Headers, TLS, DNS, email authentication, performance and SEO come from scanning the URL you serve.
Connect the repository
Adds insecure code patterns, hardcoded secrets and vulnerable dependencies, in the same ranked report as the live-site findings.
Keep review where it helps
Catching a problem in the pull request is better than catching it after deploy. If per-PR review is working for your team, keep it and add the deployed-side checks it cannot cover.
What you keep
- Insecure code patterns
- Hardcoded secrets and API keys
- Vulnerable dependencies
- Live-site headers, TLS, DNS and email authentication
- Performance and SEO
- Everything ranked in one report
When to keep CodeAnt AI
Reviewing every pull request before merge catches problems earlier in the cycle than any external scan can, and their code-quality analysis is a separate axis again.
Pick them when: You want AI review gating every pull request.
Other CodeAnt AI alternatives worth a look
We are not the only answer. These are the tools we would point you to, and what each is genuinely better at.
SonarQube
Static analysis and code quality at depth.
Code quality metrics and merge gating across a large codebase are the job, and you want them enforced in CI.
Snyk
Developer-first code and dependency security.
Dependency and container vulnerabilities are your main risk, and you need them gated in CI.
Wiz
Enterprise cloud and AI security.
You are securing a large cloud estate and have a security team.
See all comparisons
Every tool we have compared, side by side.
Prices, free tiers and coverage across the full list.
Common questions
CodeAnt AI pricing and product details read from [https://codeant.ai/in](https://codeant.ai/in), [https://docs.codeant.ai/cli/mcp-server](https://docs.codeant.ai/cli/mcp-server), [https://codeant.ai/pricing](https://codeant.ai/pricing) on 2026-09-08. Pricing and features change - if something here is out of date, tell us and we will correct it.