How GitLab reduced code-per-agentic-flow ratio by 45%
Learn how Flow Registry, a component-based framework that compiles YAML configurations into fully functional LangGraph flows, helped improve scalability and more.
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Security
Securing the software factory at machine speed
The foundation for agentic software development must evolve with AI models, continuously shortening the path from detection to verified remediation.
AI
New MCP tools help platform teams scale automation
GitLab 19.4 gives platform engineers automation across every MCP tool.
Product
See who spent your AI credits and set fair caps per team
With GitLab 19.4, set per-user GitLab Credit caps from a settings page, export the session behind a spike, and show each team its own AI consumption.
AI
Optimize your team's price-performance with hosted open weight models
Three open weight models are now available and hosted on GitLab Duo Agent Platform, so you can tune quality, latency, and cost per workload, within your guardrails.
AI
Bring your own model to GitLab Duo Self-Hosted with Microsoft Foundry
Learn how to connect GitLab Duo Self-Hosted to GPT, Claude, Llama, and Mistral models hosted in Microsoft Foundry, and how to choose between them.
AI
GPT-6 Astra on GitLab: Faster runs, fewer tokens used
On GitLab Duo Agent Platform, GPT-6 Astra completes a typical run up to 43.4% faster than GPT-5.6 Sol and uses 42.7% fewer tokens.
AI
GitLab’s internal playbook to foster AI-fluent technical teams
See how GitLab brought our Talent Development and Enterprise Technology teams together to foster AI fluency across engineering.
Find out which plan works best for your team
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