Agentic coding is only as good as its context

What this post added

This post details how integrating external coding agents with GitLab's platform context (issues, pipelines, security policies) improves the quality and security of AI-generated code. It explains how agents can leverage the Model Context Protocol (MCP) server and operate within merge requests to address review feedback, leading to fewer rework cycles and faster delivery. The post highlights the importance of `AGENTS.md` for custom instructions and discusses how structured context delivery, rather than just LLM context window size, is key to efficient AI-assisted development.