Why Your AI Coding Assistant Keeps Acting Like a Confused New Hire

A software developer writing for DEV Community argues that most AI coding workflows are over-engineered, with teams building elaborate multi-agent pipelines before solving the original problem. The real bottleneck, the author contends, is not code generation but context reconstruction — AI assistants repeatedly fetching the same Jira tickets, Confluence pages, and guidelines at the start of every session. The proposed fix is to treat frequently needed information as a local knowledge base, ideally in Markdown, so the AI can access it directly rather than making repeated external tool calls. The author highlights tools like Obsidian as a way to build a persistent 'second brain' that survives across conversations. The core argument is that less time spent fetching context means more time actually building software.