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MR decisions get lost. LORE gives your codebase memory, captures review decisions, predicts failures, enforces feedback, and stops repeated mistakes. 8 agents, 5-layer MR review, 43 tests
An agent to help OSS maintainers cut through the noise, from triaging MRs to confidently merging them.
7 event-driven AI agents that autonomously secure, predict, and score your GitLab releases, catching secrets, fixing vulnerabilities, and predicting pipeline failures before they reach production.
Turn your codebase into a semantic graph. GraphDev understands architecture so every PR gets instant structural impact analysis across subsystems.
A GitLab Duo Flow that automatically detects and fixes stale documentation the moment code changes merge.
AI agents that preview risky DB migrations in isolated Docker clones before they merge — audit, deploy, test, and promote to production without leaving GitLab Duo Chat.
The adversary your agent needs before production does
A carbon-aware CI/CD agent that measures, compares, and reduces the carbon footprint of your pipelines. Built on the GitLab Duo Agent Platform. Three specialist agents. One MR comment.
Automated security localization, fuzzing, and triage for every commit and MR. LLMs analyze diffs, generates fuzz harness, run the fuzzer, triage, and submit patches with report in one duo flow.
5 AI agents that review your Terraform like a real platform engineering team
Report one bug. Get ten fixes, sixty-three tests, and a faster pipeline - all from one @mention.
An AI agent that lints your GitLab CI/CD pipelines for carbon waste — scoring sustainability, flagging inefficient jobs, and recommending fixes that cut compute time, costs, and CO2 emissions.
