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GitLab

GitLab Dedicated: Compliance for a new regulatory era How to calculate DevOps platform total cost of ownership GitLab Critical Patch Release: 19.3.2, 19.2.6, 19.1.8 Co-Create: Building GitLab with our users Prepare for the Cyber Resilience Act Bring your own model to GitLab Duo Self-Hosted with Microsoft Foundry GPT-6 Astra on GitLab: Faster runs, fewer tokens used GitLab’s internal playbook to foster AI-fluent technical teams Critical remote code execution in vm2, a widely used Node.js sandbox library GitLab compliance frameworks: Adhere to SOC 2 in minutes How to recognize your team with GitLab Achievements Making room for what GitLab Patch Release: 19.3.1, 19.2.5, 19.1.7 Git was built for humans — agents need an upgrade Scale software delivery without owning the runner fleet When code is abundant When your backlog outgrows your team, GitLab scales remediation Run agentic software delivery inside the boundaries you already trust Build custom flows in minutes with the Flow Creator agent GitLab 19.3 release notes From chaos to context: Building an AI dev workflow From OpenTofu to Argo CD: GitLab as your AWS control plane Avoid the massive end-to-end tax of default full history clones GitLab Critical Patch Release: 19.2.4, 19.1.6, 19.0.8, 18.11.11 Critical remote code execution in Serena, a popular MCP coding agent How I built a demo generator with GitLab Duo Agent Platform How GitLab tracks vulnerabilities through refactors and reformatting GitLab Patch Release: 19.2.2, 19.1.4, 19.0.6 A sandbox is only as closed as what an AI agent can reach GitLab Secrets Manager adds ESO, Terraform, API support
Claude Opus 4.8 on GitLab: Complex agentic work, less dis...
Talia Armato-Helle · 2026-05-28 · via GitLab

Anthropic's latest model on GitLab is built for precise execution across complex multi-step agent work.

Agents fail most often on complex, multi-step work: tasks that span multiple tools and go from intent to production without losing track of the project goal. Claude Opus 4.8, Anthropic's latest model for coding and agentic tasks, is built for that work, and now available in GitLab Duo Agent Platform via model selection in Agentic Chat and across agent workflows in your GitLab instance.

Opus 4.8 delivers more precise execution across complex agentic sequences where agents run autonomously over extended time periods. With more comprehensive reasoning and planning, teams can expect cleaner end-state results with fewer interventions to redirect agents along the way.

Improved long-horizon agentic execution

For teams with established agent workflows, Opus 4.8 interprets instructions more precisely than prior models. Agents handling extended sequences complete each step as specified, which means more efficient and accurate outcomes with less time reviewing and correcting agent output.

Opus 4.8 is also stronger on professional work beyond coding: document drafting, data analysis, and structured knowledge tasks. For teams using GitLab Duo agents across planning and documentation workflows, as well as coding, Opus 4.8 handles those tasks more reliably, too.

Support for mid-conversation system prompts

Opus 4.8 adds support for mid-conversation system prompts: System instructions can be updated partway through a session without invalidating the prompt cache. Teams building on the API can use this when async context arrives mid-session: when files change on disk, when token budget shifts, or when user context updates, without restarting the cache.

Get started today

Claude Opus 4.8 is available now in GitLab Duo Agent Platform. Like other models, Opus 4.8 runs on GitLab Credits. For a full list of models and their credit consumption, please visit our documentation.

Start a free trial of GitLab Duo Agent Platform today, or sign up from the GitLab Free tier by following a few simple steps. Existing GitLab Premium or Ultimate subscribers can use the GitLab Credits included with their subscription.