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Optibot

Reviews GitHub and GitLab pull requests with AI, flagging bugs, security issues and breaking changes using full codebase context.

From $29/user/moActively maintained

Developer toolsFor developersSecurityFree tier
getoptimal.ai ↗Launched on Product Hunt · Jun 26, 2025
Open getoptimal.aiAlternativesSet it up for my teamIs Optibot yours? Claim the card →
At a glanceswept Oct 20, 2026

≈ 1.2kvisits/mo

Use not read yet · estimate, read Oct 20, 2026

For
Engineering teams reviewing pull requests on GitHub or GitLab, especially those shipping code written with AI.
Price
From $29/user/mopricing page, read Oct 20, 2026Trial & discounts: free trial · save 18% yearly
Activity
Actively maintainedrelease 2 weeks ago · site updated 2 weeks ago
Company
since 2025per their site
Used for
  • review pull requests for bugs and security issues
  • fix failing CI pipelines automatically
  • track pull request cycle time and deployment frequency
read off getoptimal.ai on Oct 20, 2026
Worth knowingcomputed from what we read · each with its source
Pricingpricing page, read Oct 20, 2026

From $29/user/mo

Trial & discounts free trial · save 18% yearly

pricing page

The companyeach fact with its source · read Oct 20, 2026
Your datawhat they publish, each line with its page · read Oct 20, 2026

“We do not use your proprietary Customer Content (such as private source code) to train our foundational third-party AI models.”

privacy policy ↗

These are Optibot's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read Oct 20, 2026
  • MCP serverai.getoptimal/optibotverified in the MCP registry
  • Statenot asked yet

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

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Questions this page answers
  • What is Optibot?

    Reviews GitHub and GitLab pull requests with AI, flagging bugs, security issues and breaking changes using full codebase context. It is listed in the Atlas under Developer tools.

  • Who is Optibot for?

    Engineering teams reviewing pull requests on GitHub or GitLab, especially those shipping code written with AI.

  • How much does Optibot cost?

    Paid plans start at $29/user/mo, per Optibot's pricing page on 2026-10-20.

  • Is Optibot free?

    No. Its pricing page showed no free plan on 2026-10-20.

  • Is Optibot still maintained?

    Actively maintained: release 2 weeks ago · site updated 2 weeks ago.

  • Does Optibot train AI on your data?

    No, per its privacy policy (2026-10-20): “We do not use your proprietary Customer Content (such as private source code) to train our foundational third-party AI models.”

  • Is Optibot safe?

    We do not audit vendors. What Optibot publishes, read 2026-10-20: SOC 2 Type II stated on its security page; on training with your data, “We do not use your proprietary Customer Content (such as private source code) to train our foundational third-party AI models.”.

  • Does Optibot have a free trial?

    Yes, a free trial, per its pricing page (2026-10-20).

  • What are alternatives to Optibot?

    In Developer tools, by use: CodeRabbit, Qodo, Greptile, cubic, Sourcery, Git AutoReview.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk