Optimal AI helps engineering teams by building AI agents that review code and track productivity to help developers ship faster, catch problems earlier, and build at hyperspeed. From Agentic code reviews with Optibot agents to real-time engineering productivity analytics with Insights, our platform adapts to your workflow and scales with your organization.
This guide will walk you through the key features of Optimal AI and help you get set up quickly so your team can deliver secure, high-quality software with confidence. Let’s get started!
Book a Personalized Walkthrough
Book a demo to learn the essentials of Optibot and Insights. Our product team will walk you through core workflows, from installation to real-world use cases.
Optimal AI Learning Library
Our YouTube channel is the best place to stay up to date with Optimal AI.
You’ll find:
- Customer stories and best practices
🔔 Pro tip: Every time we release a new feature, we post a demo video on YouTube so you can see it in action right away.
Setting up Optimal AI for your organization
Once you’ve explored the basics, it’s time to bring Optimal AI into your workflow.
The best way to start is by installing the Optibot agents in GitHub or GitLab using your work email (takes less than 2 minutes). Once installed, check out our onboarding guides:
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Github Integration link
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Jira Integration link
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Slack Integration link
Other resources
Examples of using Optimal AI
See how other teams use Optimal AI in production:
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How Prado scaled with Optibot link
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Why Artemis Ops uses Optimal AI for compliance automation link
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Engineering Productivity with Insights
✨ With Optimal AI, you’re empowering your team to code faster, review smarter, and ship securel