AI Workflow for Building a Small Feature

Use AI coding assistants across planning, implementation, review and documentation for a small, well-scoped feature.

Who it's for

Developers working solo or on a small team.

Difficulty

Intermediate

Time

Varies by feature size

Cost

$10-$40/month for AI coding tools

1. 1

   Clarify the spec

   Write a short, explicit description of what the feature should do, including edge cases.

   Open Claude →
   PromptCopy

   Help me write a clear spec for a feature that {{featureDescription}}. Ask me clarifying questions about edge cases first.

   Input

   Rough feature idea

   Output

   Clear written spec

2. 2

   Scaffold the implementation

   Use an AI coding agent to generate an initial implementation from the spec.

   Open Cursor →

   Input

   Spec

   Output

   First-pass implementation

3. 3

   Review the code

   Request a focused review for correctness, security and readability before merging.

   Open Claude →
   PromptCopy

   Review this code for correctness, security and readability: {{code}}

   Input

   Generated code

   Output

   Review notes

4. 4

   Write or generate tests

   Generate tests covering the spec's edge cases, then verify they actually fail without the fix.

   Open GitHub Copilot →

   Input

   Implementation + spec

   Output

   Test suite

5. 5

   Write the documentation/changelog

   Draft a short changelog entry or doc update describing the change.

   Open ChatGPT →

   Input

   Final implementation

   Output

   Changelog entry