Verify: Pipeline Agents - FY27
**Epic Owner:** TBD (Product Manager - Verify Stage)\
**Engineering Owner:** TBD (Engineering Manager - Pipeline Execution or CI Platform)\
**FY27 Company Objective:** AI Modernization Journey\
**FY27 CTO Program:** Duo Agent Platform Adoption\
**Key Result:** DevOps agents: 140K LLM requests from DevOps first-party agents
---
## Overview
Launch a suite of AI-powered **capabilities** that transform how users interact with GitLab CI/CD pipelines, starting with pipeline authoring assistance and expanding into pipeline failure remediation, optimization, observability, and configuration management.
## Business Objective
Address GitLab's CI adoption gap by providing intelligent assistance that guides users from pipeline creation through advanced configuration, optimization at scale, reducing time-to-first-pipeline and improving pipeline efficiency for existing users.
## Agent Portfolio - Use Cases Prioritized for Delivery
| Ordinal Priority Ranking | Pipeline Lifecycle | Pipeline Agent Use Cases | Target Delivery | Problem to Solve | Notes |
|--------------------------|--------------------|--------------------------|-----------------|------------------|-------|
| 1 | Authoring | https://gitlab.com/groups/gitlab-org/-/work_items/21405+s | Q2 - 19.2 | | |
| 2 | Execution | https://gitlab.com/groups/gitlab-org/-/work_items/21181+s | Q2 - 19.1 | Trigger the flow automatically on GitLab Internal projects only | |
| 3 | Execution | https://gitlab.com/groups/gitlab-org/-/work_items/21837+s | Q2 - 19.1 | Fix suggestions in same MR and improved flow outcomes (higher percentage of fixes) | |
| 3 | Execution | https://gitlab.com/groups/gitlab-org/-/work_items/21300+s | Q2 - 19.1 | Optimize Credit Consumption for Fix Failing Pipeline Flow | |
| 4 | Execution | [Fix a failing pipeline - auto trigger the flow (Customer projects)](https://gitlab.com/groups/gitlab-org/-/work_items/21225) | Q2 - Tentative 19.3 | Trigger the flow automatically on customer projects | |
| 5 | Execution | https://gitlab.com/groups/gitlab-org/-/work_items/20921+s | Q3 | Detect and retry failing pipelines on flaky test failures | Required: Building a Flaky Test Detection feature |
| 6 | Execution | https://gitlab.com/groups/gitlab-org/-/work_items/20623+s | Q4 | Detect and retry failing pipelines on infrastructure failures | |
##
## Success Metrics / Business Outcomes
| Metric | What? | Current | Target (FY27Q4) |
|--------|-------|---------|-----------------|
| Average time to fix a failing pipeline (all GitLab.com projects) | Track customer outcome for Fix Failing Pipeline Flow | | |
| CI Expert Agent Adoption | Track CI Expert Agent invocations | | |
| Fix Failing Pipeline Flow Adoption | Track Monthly Sessions/Users | 1.6 (Apr 2026) | 4 |
## Important Reference Links - Please Read if new to Duo Development
#### AI links
- [Building with Duo Agent Platform](https://docs.google.com/presentation/d/1RLj4LIt8yPnjN5OWYAsP4tSNqQJMXJ_e819yHUdE0us/edit?slide=id.g375873d1863_0_0#slide=id.g375873d1863_0_0)
- [Flow Registry Framework Developer Guide](https://gitlab.com/gitlab-org/modelops/applied-ml/code-suggestions/ai-assist/-/tree/main/docs/flow_registry)
- [Tools](https://gitlab.com/groups/gitlab-org/ai-powered/-/wikis/home/Agentic-IDE#tools-agenticidetool)
- [Interaction methods epic](https://gitlab.com/groups/gitlab-org/-/epics/18712)
- [Agents & flows](https://gitlab.com/groups/gitlab-org/-/epics/19001)
- [DAP tracker](https://gitlab.com/groups/gitlab-org/ai-powered/-/wikis/home/Program-Duo-Agent-Platform/DAP-Enablement/)
- [Duo Agent Platform Features](https://gitlab.com/gitlab-org/ai-powered/duo-agent-platform/-/wikis/product-engineering/platform-roadmap/Duo-Agent-Platform-Features)
- [Duo Agent Platform Docs](https://docs.gitlab.com/development/ai_features/duo_agent_platform/)
- [Instrumentation](https://gitlab.com/groups/gitlab-org/-/epics/19545) -[Deep Research Agent Prototype](https://gitlab-research-agent.michaelangelo.io/)
- Knowledge Graph
- https://gitlab.com/gitlab-org/rust/knowledge-graph
- https://gitlab-org.gitlab.io/rust/knowledge-graph/
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