Scoped Task Delegation: Giving AI the Right Level of Autonomy
intermediate 12 min 📋 Copy-paste ready
Sources not yet verified
Scenario
Context: You're using an AI coding agent (Claude Code, Cursor, Windsurf) that can run commands and modify files
Goal: Learn to scope AI tasks appropriately - not too broad, not too narrow
Anti-pattern: Either micromanaging every step OR giving carte blanche to restructure your codebase
Tools: Claude CodeCursorGitHub Copilot WorkspaceWindsurf
Key Takeaways
- Explicit file scope prevents unwanted changes spreading
- List what NOT to do as well as what to do
- Include verification commands the AI should run
- Ask for checkpoints on multi-step tasks
- If you can't describe the outcome specifically, narrow the scope
Try It Yourself
Prompt Template
## Task: [One-line description]
### Scope
- **Files to modify:** [list]
- **Files to read (context):** [list]
### Constraints
- [Style/pattern to follow]
- [Dependency rules]
### Do NOT
- [Things to avoid]
### Verification
- Run [command] - should [expected result]
### Checkpoint
- Pause after [milestone] for review Variations to Try
- For refactoring: 'Keep existing tests passing, add tests for edge cases you find'
- For multi-file: 'Process files one at a time, run tests between each'
- For risky changes: 'Create a new branch, show me the diff before committing'
Sources
Tempered AI — Forged Through Practice, Not Hype
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