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CodeAnt AI

LinkedIn lists CodeAnt AI’s headquarters as San Francisco, California.

What it is

CodeAnt AI is a security platform for examining software across code, cloud, and runtime. Its blackbox pentesting begins with a domain and checks internet-visible exposure without source code or credentials. Whitebox testing examines source code and Git history to look for issues those outside-in checks may miss. Coverage also includes DAST and cloud security posture management. Agents review pull requests and provide security and quality findings in the context of the codebase. The service connects to GitHub, GitLab, Bitbucket, and Azure DevOps, along with VS Code, Cursor, Windsurf, IntelliJ, Jira, Azure Boards, Slack, and Microsoft Teams. Listed language support includes Python, Java, C, C++, C#, JavaScript, Kotlin, Go, Ruby, and Swift. It is available through cloud, self-hosted, and browser-extension deployment. There is no general free plan; the listed paid pricing starts at $20/user/mo, and a 14-day trial requires no credit card. A free blackbox scan is also listed, with some findings requiring payment to unlock.

For and against

For

  • Blackbox scans need no source code or credentials.
  • Whitebox tests inspect source code and Git history.
  • Agents review pull requests in codebase context.
  • Supports cloud, self-hosted, and browser-extension deployment.
  • 14-day trial requires no credit card.

Against

  • No general free plan is listed.
  • Pricing starts at $20/user/mo.
  • High and critical scan findings require payment to unlock.

The verdict

CodeAnt AI combines multiple forms of security analysis with pull-request review and integrations across code hosts and development tools. Consider the lack of a general free plan and the listed paid starting price when evaluating it.

Who it suits

It may suit development teams and organizations seeking security analysis across code, cloud, and runtime, with integrations for common code hosts and development tools. The listed company-size fit ranges from small teams to enterprise.

Plans and prices

Free trial

Free

100 PR reviews · premium features · unlimited seats · no credit card

Code Security

$20a month

SAST · SCA · secrets detection · IaC scanning

AI Code Review

$24a month, billed yearly

Unlimited PR reviews · PR SAST · dashboards · CI/CD integration

Blackbox Pentesting

Free

One full AI pentest scan included · low and medium findings always free · high and critical findings unlock on payment

14-day free trial

Free

14 days · no credit card required

Enterprise

Priced on request

SSO · audit logs · on-premises or VPC deployment · dedicated support

Attack Surface Management

Priced on request

Continuous discovery of domains, subdomains and IPs · AWS, Azure and GCP asset inventory · exposed ports and services · real-time alerts

Every plan, in full

On the record

AI code review
Its review feature analyzes pull requests and provides inline comments with severity levels, suggested fixes, and reproduction steps.docs.codeant.ai · read 21 Oct 2026
API coverage
A developer API reference page documents an endpoint for removing a team member using a POST request and bearer-token authentication.docs.codeant.ai · read 21 Oct 2026
Automatic PR approval
The documentation includes policy-aware options for automatically approving pull requests.docs.codeant.ai · read 21 Oct 2026
Capterra listing
Capterra’s product listing displayed a 0.0 rating when crawled and describes cloud-based and self-hosted deployment.capterra.com · read 21 Oct 2026
CLI and extensibility
CodeAnt provides a CLI, Git hooks, and an MCP server with documented commands and tool references for connecting coding agents and other MCP clients.docs.codeant.ai · read 21 Oct 2026
CLI installation
The CLI page gives `npm install -g @codeant/cli` as its installation command.codeant.ai · read 21 Oct 2026
Code quality
Documented quality tools identify dead or duplicate code, complex functions, antipatterns, and bugs, and can generate docstrings and reports.docs.codeant.ai · read 21 Oct 2026
Code review
Documentation says its agents review pull requests in depth and ground security and quality findings in codebase context.docs.codeant.ai · read 3 Oct 2026
Company history
The About page says Amartya Jha and Chinmay Bharti started CodeAnt in June 2023 and joined Y Combinator's W24 batch in February 2024.codeant.ai · read 3 Oct 2026
Company name
The company’s Trust Center identifies the entity as CodeAnt AI, Inc.codeantai.trust.site · read 21 Oct 2026
Company size fit
small, mid market, enterprisecodeant.ai · read 22 Sep 2026
Compliance
CodeAnt’s Trust Center lists SOC 2 and HIPAA as compliant and reports SOC 2 Type II certification dated December 19, 2025.codeantai.trust.site · read 21 Oct 2026
Custom review rules
Teams can configure custom review instructions and rules for repository-specific standards.docs.codeant.ai · read 21 Oct 2026
Defensive coverage
The platform identifies risks across code, cloud, and runtime, including DAST and cloud security posture management.codeant.ai · read 3 Oct 2026
Deployment
The integrations page lists both on-premises and cloud deployment options.codeant.ai · read 3 Oct 2026
Developer API
The documentation index describes API tokens for authenticating CI pipelines and the CodeAnt API.docs.codeant.ai · read 21 Oct 2026
Documentation depth
The documentation index spans setup, configuration, integrations, security and quality features, IDE plugins, CLI commands, MCP, CI/CD, cloud security, and pentesting.docs.codeant.ai · read 21 Oct 2026
Engineering metrics
The documentation includes DORA and developer productivity metrics.docs.codeant.ai · read 21 Oct 2026

The review

CodeAnt AI is a security and code-review platform for development teams that want to assess both exposed systems and risks inside their codebase. Its breadth makes it a stronger fit for teams consolidating security checks with pull-request review than for buyers seeking only lightweight PR feedback. The key trade-off is a $20/user/mo starting price, with some severe blackbox findings requiring payment to unlock.

Overview

CodeAnt AI spans security analysis across code, cloud, and runtime, alongside automated pull-request review. Blackbox pentesting starts with a domain and checks internet-facing exposure without source code or credentials; whitebox testing examines source code and Git history for issues outside-in checks can miss. That combination offers a broader security view, but may be more than a team needs if its priority is simply reviewing code changes.

Its agents review pull requests in depth and ground security and quality findings in the codebase. Custom review rules and review analytics give teams ways to tailor and track the process, rather than treating automated comments as one-size-fits-all guidance.

Key features

Security testing and coverage

Blackbox and whitebox testing address different blind spots: one examines what an outsider can reach, while the other can surface issues in source code and Git history. The platform also identifies risks across code, cloud, and runtime, including dynamic application security testing (DAST) and cloud security posture management. This scope is useful for teams seeking preventive security in the development workflow, though it may be excessive for organizations that only need a pull-request reviewer.

The Blackbox Pentesting plan includes one full AI pentest scan, and low- and medium-severity findings are always free. High- and critical-severity findings unlock on payment, so the no-cost scan is not a complete free security service for teams that need access to every finding.

Pull-request review and integrations

CodeAnt supports GitHub, GitLab, Bitbucket, and Azure DevOps, with integrations for VS Code, Cursor, Windsurf, IntelliJ, Jira, Azure Boards, Slack, and Microsoft Teams. Jira and Azure Boards connect findings to issue tracking, while Slack and Teams fit into team communication. The range is a practical advantage for teams already working across these tools, although buyers should weigh it against the paid entry point if they need a narrower review workflow.

Supported languages include Python, Java, C, C++, C#, JavaScript, Kotlin, Go, Ruby, and Swift. Support channels include email and documentation.

Pricing

CodeAnt AI has no general free plan. Its paid plans start at $20/user/mo, and a 14-day free trial requires no credit card. The trial offers a way to evaluate the product before committing, but teams planning ongoing use should budget for the per-user starting price.

  • 14-day free trial: $$0 for 14 days, with no credit card required. This is a short evaluation window, not a continuing free tier.
  • Blackbox Pentesting: $$0, with one full AI pentest scan included. Low- and medium-severity findings remain free; payment is required to unlock high- and critical-severity findings. It suits an initial assessment, not teams that need unrestricted access to every result at no cost.
  • Attack Surface Management: custom pricing. It includes continuous discovery of domains, subdomains, and IPs; AWS, Azure, and GCP asset inventory; exposed ports and services; and real-time alerts. Its ongoing discovery and alerts are aimed at teams managing cloud and internet-facing assets, but the price must be assessed through a custom quote.
  • Paid plans: start at $20/user/mo. This is the relevant baseline for teams adopting the broader paid platform; the starting price alone does not establish the price of every plan or usage level.

Platforms

CodeAnt is available through an API, browser extension, web interface, and self-hosted deployment. Cloud and self-hosted options give teams a choice in deployment, while the extension supports a browser-based workflow. Its compliance credentials include SOC 2 and HIPAA, and its Trust Center reports SOC 2 Type II certification in an update dated December 19, 2025. The Trust Center also lists product, data, network, application, endpoint, and corporate security controls.

Who it's for

CodeAnt AI suits small, mid-market, and enterprise teams that want security checks and PR review together, especially when they need both internet-facing testing and code-aware analysis. Its code-host support and integrations make it relevant to teams using the listed development and collaboration tools. It is less compelling for an individual or small team that only wants basic review feedback and places high value on a continuing free plan.

Pros and cons

  • Pros: Blackbox and whitebox testing cover external exposure as well as risks visible in source code and Git history.
  • Pros: PR agents ground findings in codebase context, with custom review rules and analytics for teams that want to shape and monitor reviews.
  • Pros: Support for four major code hosts, multiple IDEs, issue trackers, and team communication tools can fit into an established development workflow.
  • Pros: Cloud, self-hosted, browser-extension, and API options, together with SOC 2 and HIPAA compliance, address varied deployment and compliance needs.
  • Cons: There is no general free plan, and paid plans start at $20/user/mo, which can rule it out for teams looking for ongoing no-cost PR review.
  • Cons: High- and critical-severity blackbox findings require payment to unlock, limiting what the free scan provides to teams seeking a complete assessment without a purchase.
  • Cons: Attack Surface Management uses custom pricing, so teams cannot compare its cost from a published monthly rate.

Alternatives

For a broader comparison, see Code review software, Code Quality Management Software, and AI Code Review Tools.

  • CodeRabbit is the alternative to consider if a continuing free option for public-repository reviews matters: its Open-source plan offers free reviews forever for public repositories.
  • Gitar is worth considering for qualifying open-source projects: its free plan is for public GitHub or GitLab repositories with an OSI-approved license, and requires an application.
  • Review Board is an open-source alternative with a free Community plan for teams that prefer that model.
  • Sourcery offers a free forever Open Source plan for public repositories, including AI reviews, PR summaries and diagrams, one-click fixes, and custom review rules.
  • gitStream has a free account, but its monthly cap on PRs triggering automations may suit teams with limited automation volume better than those needing unrestricted use.
  • Graphite has a free Hobby plan for personal-account repositories, with an inbox, in-app notifications, CLI, MCP, and a VS Code extension.
  • Greptile has a free Starter plan with 50 credits per month, one active developer, and unlimited repositories; its Pro plan is $30/seat/mo.
  • LiveReview is another option to compare for teams considering code-review software.

Verdict

Choose CodeAnt AI if your team wants one platform for code-aware PR review and security coverage spanning internet exposure, code, cloud, and runtime. Its breadth, integrations, and deployment choices are the strongest reasons to choose it. Look elsewhere if a general free plan is essential, if you only need lightweight PR review, or if paying to unlock the most severe findings is a poor fit.

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