GitLab engineer: How I improved my onboarding experience with AI

Starting a new job at GitLab can be both exciting and overwhelming, especially due to the extensive onboarding process that involves numerous documents, videos, and training sessions. The author, who recently joined GitLab as a fullstack engineer, found the AI tool GitLab Duo to be invaluable in navigating this process by assisting in exploration, reviewing, and debugging tasks. GitLab Duo simplifies searching through GitLab's extensive documentation by allowing natural language queries, helps identify edge cases and dependencies before starting work on issues, and offers guidance in reviewing and debugging code efficiently. This tool aligns with GitLab's core values by enhancing collaboration, improving outcomes for customers, and increasing efficiency, while also supporting diversity and inclusion. However, the author remains cautious about over-relying on AI, ensuring that its outputs are validated to avoid automation bias and maintaining personal competence and understanding by using AI as a discussion partner. Overall, GitLab Duo significantly eased the onboarding experience by providing insights into GitLab's codebase, culture, and best practices.

No tracked trend matches for this post yet.

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.