Start guide on using Optimal AI — Optimal Docs
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:
- Setting up Optibot Code Reviewer (GitHub Integration)
- 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.
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.
Step 2: Connect Insights
Once Optibot is installed, you can enable Insights to start tracking metrics like PR Cycle Time, Activity, and Team Contributions.
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.