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CodeAnt AI vs Octopus

CodeAnt AI

codeant.ai

Octopus

octopus-review.ai

Side by side

FigureCodeAnt AIOctopus
Price from$20/moFree
Free planYesYes
Free trialYes—
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published75
Spec score · Code review software9.3 (#1)8.6 (#12)
Spec score · AI Code Review Tools9.3 (#1)8.5 (#12)
Documentation depthThe documentation index spans setup, configuration, integrations, security and quality features, IDE plugins, CLI commands, MCP, CI/CD, cloud security, and pentesting.Public documentation covers setup, integrations, pricing, CLI, self-hosting, GitHub Actions, security, privacy, terms, and a dated changelog.
HeadquartersLinkedIn lists CodeAnt AI’s headquarters as San Francisco, California.London, England, United Kingdom
ProductCodeAnt describes itself as an autonomous preventive security platform for continuous attack and defense.Octopus indexes a codebase for context and automatically reviews pull requests, posting severity-rated findings as inline comments.
Rating on G24.9 out of 5 from 5 reviews, according to G2’s Spanish-language product listing.No rating out of 5 from 0 reviews; G2 says Octopus Code Review has not been reviewed yet.
Security controlsThe Trust Center lists product, data, network, application, endpoint, and corporate security controls.Authentication supports GitHub, Google, Microsoft/Entra ID, and magic links, with organization roles, revocable sessions, webhook verification, and audit logs.
SupportThe documentation page directs users to a help portal and lists [email protected] for reporting issues.The free cloud tier includes community support, and the maker invites users to report issues and contribute through GitHub.
What it doesCodeAnt AI describes itself as an autonomous security platform that combines continuous offensive testing with security and code review across code, cloud, and runtime.Octopus indexes a complete codebase and automatically reviews pull requests with context-aware, severity-rated inline findings.

Plans

CodeAnt AI

  • 14-day free trialFree
  • Blackbox PentestingFree
  • Free trialFree
  • Code Security$20 a month
  • AI Code Review$24 a month
  • Attack Surface ManagementPriced on request
  • EnterprisePriced on request

CodeAnt AI pricing →

Octopus

  • Cloud Free TierFree
  • Self-HostedFree
  • Self-HostedFree
  • Cloud Usage-BasedPriced on request
  • Cloud Usage-BasedPrice not published

Octopus pricing →

In their own words

CodeAnt AI

CodeAnt AI is a security platform for identifying risks across code, cloud, and runtime. Blackbox pentesting starts with a domain and checks internet exposure without source code or credentials; whitebox testing examines source code and Git history. Coverage also includes DAST and cloud security posture management. Its agents review pull requests and frame security and quality findings in codebase context. CodeAnt connects with GitHub, GitLab, Bitbucket, and Azure DevOps, as well as VS Code, Cursor, Windsurf, IntelliJ, Jira, Azure Boards, Slack, and Microsoft Teams. Supported languages include Python, Java, C, C++, C#, JavaScript, Kotlin, Go, Ruby, and Swift. Deployment options are cloud, self-hosted, and browser extension. The paid offering starts at $20/user/mo, and a 14-day trial is listed at free with no credit card required. There is no general free plan, though a free blackbox offer includes one full AI pentest scan; low and medium findings remain free, while high and critical findings unlock on payment. The platform lists SOC 2 and HIPAA compliance.

Visit codeant.ai

Octopus

Octopus indexes a codebase and uses that context to review pull requests automatically. When a pull request opens, it retrieves related indexed code through vector search and sends the changes and context to a configured language model. Findings receive severity ratings and appear as inline comments. The GitHub integration also reviews updates, posts check runs, and can create issues from findings. Octopus supports GitHub, GitLab, Bitbucket, and Forgejo, and includes source-cited codebase chat plus a CLI for reviews, context queries, and repository checks. Teams can use knowledge-base documents to guide reviews, with rules, repositories, and reviewer settings shared across an organization. AI options include providers such as Anthropic Claude, OpenAI, Google, xAI Grok, Alibaba Qwen, Cohere, and OpenRouter. It can be self-hosted with Docker Compose, PostgreSQL, and Qdrant, with optional local models and embeddings through Ollama. The cloud service stores review and indexing data; findings persist through the PR lifetime and 90 days after closure, while indexed embeddings remain as long as a repository is connected. Free self-hosted and cloud tiers are listed. Live team telemetry requires a paid organization.

Visit octopus-review.ai