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Scoped Task Delegation: Giving AI the Right Level of Autonomy

intermediate 12 min 📋 Copy-paste ready
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agenticdelegationsupervisionintermediate

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

Conversation

The Delegation Spectrum

Too narrow: You type more than the AI saves you
Too broad: AI makes decisions you should make

👤 You ✗ Bad example

Refactor the entire codebase to use TypeScript and modern best practices.

Too broad - 'entire codebase' and 'best practices' are vague. The AI might make sweeping changes that break things or conflict with your team's preferences.
🤖 AI

I'll start converting files to TypeScript. Let me begin with the src/ directory...

[Proceeds to modify 50+ files, adding types based on inference, restructuring imports, changing patterns]

Without clear scope, the AI may make changes you don't want, using patterns you don't agree with, in areas you didn't mean to change yet.

Well-Scoped Delegation

👤 You

Convert src/utils/validators.js to TypeScript.

Scope:

  • Only this file and its test file validators.test.js
  • Keep the existing function signatures
  • Add explicit types for all parameters and return values
  • Use strict mode (no any types)

Do not:

  • Change function implementations
  • Add new dependencies
  • Modify files that import from validators.js

When done:

  • Run npm run typecheck and fix any errors
  • Run the existing tests to verify behavior unchanged
Clear file scope, explicit constraints, and a verification step. The AI knows exactly what to do and what NOT to do.
🤖 AI

I'll convert validators.js to TypeScript with strict typing. Here's my plan:

  1. Rename validators.js -> validators.ts
  2. Add parameter and return types to all functions
  3. Rename validators.test.js -> validators.test.ts
  4. Run typecheck and tests

Let me start...

// validators.ts
export function validateEmail(email: string): boolean {
  const emailRegex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
  return emailRegex.test(email);
}

export function validateAge(age: number): { valid: boolean; error?: string } {
  if (typeof age !== 'number' || isNaN(age)) {
    return { valid: false, error: 'Age must be a number' };
  }
  if (age < 0 || age > 150) {
    return { valid: false, error: 'Age must be between 0 and 150' };
  }
  return { valid: true };
}

Typecheck passes. Tests pass (4/4).

Should I proceed with the next file, or would you like to review these changes first?

The AI follows the scope, runs the verification steps, and asks before proceeding - proper agentic behavior.

Scoping Framework

👤 You

Give me a template for scoping AI tasks effectively.

Building a reusable framework for task delegation.
🤖 AI

Task Scoping Template:

## Task: [One-line description]

### Scope
- **Files to modify:** [explicit list or pattern]
- **Files to read (context):** [for understanding, not changing]
- **Files off-limits:** [explicitly exclude sensitive areas]

### Constraints
- [Pattern/style to follow]
- [Dependencies: can add? which ones?]
- [Breaking changes: allowed?]

### Do NOT
- [Specific anti-patterns to avoid]
- [Changes that need human decision]

### Verification
- [ ] Run [specific command] - should pass
- [ ] [Specific behavior to test]

### Checkpoint
- [When to pause and check in]

Example Scopes by Risk Level:

Risk Scope Example
Low "Add tests for this function"
Medium "Refactor this file using pattern X"
High "Change the database schema"
Too High "Improve the architecture"

Rule of Thumb: If you can't describe the expected outcome specifically, the task is too broad.

The template ensures consistent, well-scoped delegation.

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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