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Coding
Intermediate
1–3 hrs
3 tools

AI Coding Workflow for Solo Developers

Use AI to plan features, generate code, debug issues, and ship faster as a solo developer.

View Recommended Tools

Who This Workflow Is For

Best for

  • Solo developers
  • Indie hackers
  • Prototype builders

Not ideal for

  • Large regulated codebases without review process

What You Need

Required inputs

  • Feature request
  • Existing codebase
  • Acceptance criteria

Outputs

  • Implementation plan
  • Code changes
  • Debug checklist
  • Release notes

Step-by-Step Workflow

1

Clarify the feature

Reduce rework before coding.

Ask AI to restate the feature, assumptions, edge cases, and acceptance criteria.

Recommended tools: Claude, ChatGPT
2

Plan file-level changes

Know where to change code before writing it.

Map the likely touched files, components, APIs, and data flow.

Recommended tools: Claude, Cursor
3

Implement in small batches

Keep the code reviewable and testable.

Generate code in chunks, validate each chunk, and avoid giant one-shot edits.

Recommended tools: Cursor, Claude
4

Debug with structured prompts

Use AI for diagnosis, not random guessing.

Provide the error, expected behavior, relevant code, and recent changes.

Recommended tools: Claude, ChatGPT
5

Document and ship

Leave the change understandable for future you.

Generate a short changelog, test checklist, and known limitations before shipping.

Recommended tools: Claude, ChatGPT

Prompt Pack

Feature clarification prompt
Restate this feature request as a concrete implementation plan. Include assumptions, edge cases, touched files, and acceptance criteria: [REQUEST]

Variations

MVP-first version
Implement only the smallest working version first, postpone refactors.

FAQ

Should I let AI edit large code sections directly?

Usually no. Smaller, controlled edits are safer and easier to verify.