Meet Optibot, the AI agent that thinks, reviews, and maintains your codebase. It lives in GitHub, reviews PRs with judgment, fixes CI issues and keeps your code clean long after it's merged. Built by Optimal AI.
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Optibot is praised for its efficiency and ability to simplify tasks, enhancing code quality and team productivity. Users appreciate its seamless integration into engineering workflows, highlighting its role as a versatile AI tool with multiple applications. It is described as an agentic security-first code reviewer that effectively manages pull requests and CI issues on GitHub. Additionally, Optibot is noted for its impressive automation capabilities, making it a valuable asset for modern investors and businesses seeking to optimize processes.
Optibot
Hey PH community! @chrismessina ty for the hunt!
Long-time lurkers, 3rd time makers :) @syedahmedz and I are YC alums and we're so excited to introduce you today to Optibot, your repo's code review agent. We're the former creators of Tara AI and have spent over a decade working with thousands of engineering teams.
With vibe coding, we realized that code maintenance and security would only get harder for engineering teams. After trying every code review agent and tool out there, we were surprised by how much noise they added and how it felt like they didn't have code context or reasoning.
And so, Optimal AI was born, with a mission to help maintain codebases securely. We released our first agent, Optibot, in private beta to 2,900 engineers at fortune 500 companies and startups. Today, we're excited to introduce you to Optibot's public beta after (much!) testing. We spent 8 months nailing reasoning and giving it the ability to think before responding, since the hardest problem with having truly capable agents, is context and judgment. In the video, we share how we battle tested Copilot reviews vs Optibot, and {spoiler alert} how it found 4 issues and a breaking error vs Copilot finding 2 issues in a PR.
Here's how it works:
-> Install on Github
And that's it. Once added to your repos, Optibot spends time understanding your codebase. You can speak to it directly in Github comments and ask it questions. It will summarize your PRs and review them. It's already SOC 2 verified and in use at public companies today (ty to our customers!).
PH community, we're going to be live all hours of today on rounds of coffee! Pls ask us any questions your heart fancies, and we'll respond. Oh and we're also announcing our $2.25M pre-seed raise today to help serve our customers and continue to build more agents with context.
May the bots live on to serve us (and not the other way round).
- Iba and Syed
I love that it brings real context and judgment to PR reviews - that’s a big leap beyond the typical automated tools. How customizable is it when it comes to tailoring review rules to fit specific code standards or team needs?
Optibot
@evgenii_zaitsev1 Thanks! That’s exactly the gap we’re trying to bridge, moving from automated rules to thoughtful judgment.
Optibot is built to be highly adaptive to its environment. It picks up on team specific coding practices by reading existing docs, code patterns, and historical decisions, so it naturally aligns with your org’s standards without needing heavy manual setup.
But it goes even further. It also observes how team members communicate. Whether your team leans more direct or collaborative in tone, Optibot mirrors that, making it feel like a real colleague, not a rigid bot. The goal is for it to blend in seamlessly, like a puzzle piece that just fits.
Customization continues to improve as we build, and we’d love to hear how you'd like to see it evolve too!
Optibot
Ty@evgenii_zaitsev1 ,
Great question! Customization is a key feature. Here’s how it works:
For Your Code Standards: Simply add a guidelines document (like `CONTRIBUTING.md`) to your repo. Optibot will learn and enforce your specific rules from that file.
For Bot Behavior: Use the `.optibot` config file to toggle features like auto-reviews, PR summaries, and auto-approval on or off.
It's designed to be very flexible to fit your team's specific needs.
Optibot
@evgenii_zaitsev1 great question!
Yes! Optibot is fully customizable.
You can define one or multiple guideline files in your configuration, Optibot will then automatically follow and enforce them during pull request reviews.
This allows you to make sure all your code review process matches your team's coding standards, best practices, and project-specific rules.
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this is called gold mate! keep it up!
Optibot
@kshitij_mishra4 Ty kindly.