Optibot — Autonomous, context-aware, and built to transform how engineering teams handle code reviews.
💡 What is Optibot?
Optibot is Optimal AI’s agentic code reviewer — an autonomous assistant that reviews pull requests with the depth, precision, and consistency of a senior engineer.
Unlike static linters or suggestion engines, Optibot understands your entire repository. It provides context-aware feedback, identifies performance or security issues, and even explains its reasoning directly in your PR threads.
It integrates seamlessly with both GitHub and GitLab, becoming an intelligent participant in your workflow. From summarizing pull requests to suggesting fixes, Optibot helps your team move faster, with more confidence and less noise.
🚧 The Problem
Code reviews are essential — but they’re often slow, inconsistent, and overloaded with minor feedback.
Developers wait for reviews, PR queues pile up, and critical issues slip through. Manual reviews can vary in quality depending on who’s reviewing, while automated tools often produce noisy or irrelevant feedback.
The result? Reduced velocity, frustrated teams, and inconsistent code quality.
🚀 The Solution
Optibot changes the way teams approach reviews by combining LLM-based reasoning with deep repository understanding.
It automatically reviews pull requests, summarizes code changes, detects regressions, and posts helpful comments in natural language — all within seconds of a PR being opened.
With Optibot, you’ll:
-
Reduce average review times
-
Maintain consistent code quality
-
Empower engineers to focus on building, not debugging
-
Catch issues before they merge
🔑 Key Capabilities
🧩 Full Codebase Context
Optibot reviews your PRs with a full understanding of your repository history, dependencies, and team conventions.
This enables it to deliver precise, context-aware feedback that aligns with how your team actually writes code — not just how it looks syntactically.
By analyzing related files, similar patterns, and previous decisions, Optibot ensures its feedback feels human, relevant, and consistent.
📝 Smart PR Summaries
Writing summaries manually can be tedious.
Optibot automatically creates clear, concise summaries describing what changed, why it matters, and any associated risks.
These summaries include:
-
Changed files and functions
-
Dependency or logic updates
-
Potential regressions
-
Related JIRA or issue links
This makes it easy for reviewers to get context instantly — even on large, multi-file PRs.
⚙️ CI Fixer Agent
When a CI run fails, Optibot detects the issue, analyzes logs, and suggests possible fixes automatically.
It flags:
-
Broken or flaky tests
-
Misconfigurations in pipelines
-
Missing environment variables
-
Syntax or dependency errors
The CI Fixer Agent helps engineers recover from build failures faster and reduces time spent parsing logs.
🛡️ Security Checks
Security shouldn’t slow development down.
Optibot automatically performs AI-powered security scans on each PR — identifying risky imports, vulnerable packages, or unsafe patterns.
When issues are found, it provides line-level explanations and recommendations, ensuring teams can remediate before merge.
It integrates seamlessly with your workflow, offering a “shift-left” approach to code security.
💬 Automated & Contextual Comments
Optibot communicates like a teammate.
Every suggestion is posted as a natural-language comment in the PR thread, explaining the reasoning, context, and potential alternatives.
Developers can respond, accept, or dismiss suggestions — just like human feedback — keeping collaboration simple and organic.
🧭 Get Started
-
GitHub Integration
-
GitLab Integration
-
Optibot Features Overview