Start guide on using Optimal AI

Optimal AI helps engineering teams ship faster and build more reliably through two core products:

  • Optibot — AI code reviewers that analyze pull requests, catch issues early, and improve code quality automatically.
  • Insights — real-time analytics that track engineering productivity and surface actionable trends.

Onboarding involves two parts:

  1. Setting up Optibot Code Reviewer (GitHub Integration)
  2. Setting up Insights for engineering analytics

Book a Personalized Walkthrough

Get a live demo from our product team. We’ll walk you through Optibot installation, Insights setup, and common workflows from real teams.

→ Book a demo

Explore the Optimal AI Learning Library

Visit our YouTube channel for short walkthroughs, feature demos, and customer stories.

You’ll find:

  • Real use cases from engineering teams using Optimal AI
  • Product updates and “what’s new” videos

Pro tip: Every time we release a new feature, we post a quick demo video so you can see it in action right away.

Set Up Optimal AI for Your Organization

Step 1: Install Optibot Code Reviewer (GitHub Integration)

Install Optibot using your work email and grant it access to your repositories. Setup takes less than 2 minutes.

→ Go to GitHub Setup Guide

Step 2: Connect Insights

Once Optibot is installed, you can enable Insights to start tracking metrics like PR Cycle Time, Activity, and Team Contributions.

→ Go to Insights Setup Guide

Step 3: Add Slack Integration (Optional)

Connect Slack to receive Optibot summaries, code review notifications, and weekly Insights digests directly in your channels.

→ Go to Slack Integration Guide

See How Other Teams Use Optimal AI

  • How Prado scaled with Optibot
  • Why Artemis Ops uses Optimal AI for faster code reviews

With Optimal AI, you’re empowering your team to code faster, review smarter, and ship securely.