GitLab Orbit is GA: Higher agent accuracy, lower token cost

To search repositories and projects, login to gitlab.com . Suggestions GitLab Duo Agent Platform Code Suggestions (AI) CI/CD GitLab on AWS GitLab on Google Cloud Why GitLab?

What changed

To search repositories and projects, login to gitlab. com . Platform DevOps CI/CD Source Code Management Agile Delivery Artifact Management Security & Governance Application Security Testing Governance & Compliance Secrets Management Supply Chain Security Agentic AI & Context Duo Agent Platform Orbit Context Graph Visibility & Measurement Explore the Platform GitLab Orbit is generally available Higher agent accuracy, lower token cost.

Price and bundle value

Solutions Outcomes DevOps Modernization Security Modernization AI Modernization By size Enterprise Small Business Startups Industries Financial Services Public Sector Telecommunications Automotive Education Aerospace View all Solutions GitLab Security Standard Learn how to harden your software factory and let AI agents earn autonomy, without trading away security.

AI features that change the value

Your entire software lifecycle in one queryable graph, with permissions intact. In GitLab testing, agents on GitLab Orbit made up to 45x fewer retries.

Who should pay attention

An agent’s true cost isn’t only the tokens it burns. It’s the review that calls your code “safe to merge” after seeing the diff, but without any context on the pipeline. We call that artificial confidence, not artificial intelligence. Agents guess because code is all they can see they can’t see the merge request that last changed it, the pipeline that ran it, the vulnerability it carries, or the people who wrote and reviewed it.

Patrick Tech Media take

Guessing is expensive. If you’ve tried running agents in a large monorepo, one with tens of thousands of files, you know how it goes: the agent iterates, pinging the backend again and again for the information it needs to complete the task. Every round trip costs more time and more tokens. Eventually the agent gives up.

Source notes

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