A key issue is that most AI coding agents aren't trained on your specific codebase's context or patterns. In our recent work with teams, we've found that creating a custom knowledge base with examples of past code changes, architecture decisions, and internal libraries can dramatically improve agent performance. This not only reduces hallucinations but also aligns the AI's outputs with your team's coding style and standards. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)