Stop Explaining Your Codebase to Your AI Every Time
The article discusses how to provide context and information about your codebase to your AI assistant, so it doesn't have to start from scratch every time you have a conversation.
Why it matters
This approach can significantly improve the productivity and usefulness of AI assistants in software development, by providing them with the necessary context and information to better understand and assist with your specific codebase and project requirements.
Key Points
- 1Save your tech stack, deployment setup, and conventions in a note for your AI to reference
- 2Store error fixes and solutions to common problems your AI can refer to
- 3Document your architecture decisions and reasoning for your AI
- 4Capture your project's unwritten rules and conventions for your AI to follow
- 5Store reusable code snippets for your AI to access
Details
The article suggests that by providing your AI assistant with contextual information about your codebase, development environment, and project conventions, you can save time and improve the efficiency of your conversations. This includes creating notes that detail your tech stack, deployment setup, common error fixes, architecture decisions, project rules, and reusable code snippets. By having this information readily available, your AI can reference it and provide more relevant and tailored responses, without requiring you to explain the same details repeatedly. The author recommends using a note-taking app like Hjarni, which has a built-in protocol (MCP) that allows the AI to access and read the notes.
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