context-prime

To load full project context before coding, initialize a comprehensive context-loading step at the start of your session. This builds a complete mental model of the codebase, ensuring subsequent actions reference the updated context to avoid misalignment.

Your AI assistant loses codebase context when switching projects because it lacks a persistent mental model. Reloading the full project context at the start of the session or when switching projects resets the agent's understanding and prevents uninformed changes.

The best way to build a mental model of a codebase for development onboarding is to load the complete project context before starting work. This ensures you never start work without context and prevents uninformed changes that break things.

You need to reload project context during a coding session when the agent seems to have lost context or when switching projects. Reloading ensures subsequent actions reference the updated codebase state, avoiding misalignment and uninformed changes.

Yes, loading complete project context prevents uninformed changes to the codebase by ensuring the AI assistant builds a full mental model before writing any code. Subsequent actions are aligned with the updated context, avoiding unintended breakage.