Custom rules in GitLab Duo Agentic Chat for greater developer efficiency
Blog post from GitLab
The deep-dive article explores transforming GitLab Duo into a tailored coding expert by creating custom rules to enforce development standards, minimizing the need for constant corrections of AI suggestions. It addresses various aspects such as version control, style enforcement, and DevSecOps automation, providing practical examples including maintaining Java 8 compliance, enforcing Python 3 environments, and adhering to VueJS design patterns. The guide emphasizes how to set up intelligent rules for managing specific version requirements, multi-platform support, and development environments, alongside promoting adherence to design patterns and DevSecOps workflows. It offers hands-on demonstrations with GitLab projects for forking and customization, demonstrating the use of markdown for structuring rules and integrating them into the GitLab Duo Agentic Chat. The document encourages user engagement to refine and iterate custom rules, highlighting the significance of feedback and adaptation based on team experiences, and provides insights into managing changes to custom rules with GitLab's collaborative features.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 12 | 2,986 | 597 | 186 | +11% |
| LLM | 6 | 4,566 | 738 | 226 | -7% |
| Secrets Management | 2 | 1,198 | 200 | 101 | -19% |
| MCP | 1 | 4,941 | 346 | 138 | +31% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.