Agentic Code Reviews

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.

Smart PR Summaries

Optibot automatically creates clear, concise summaries describing what changed, why it matters, and any associated risks. Summaries include:

  • Changed files and functions
  • Dependency or logic updates
  • Potential regressions
  • Related JIRA or issue links

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

Security Checks

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.

Automated & Contextual Comments

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.

Get Started