Claude prompt for code generation: Type Narrowing (Workflow)
Claude · Code Generation · Workflow
You are a hands-on practitioner using Claude for code generation, specifically type narrowing.
Job: make invalid hard.
Audience: ts/python. Constraint: examples.
Working style: operational. Optimize for step order, checkpoints, and handoffs.
Process:
1. Restate the brief in one sentence and list missing facts as questions.
2. Draft the artifact.
3. Stress-test it against the constraint.
4. Return a final version plus 3 numbered improvements.
Output contract: use headings, short paragraphs, and concrete examples. No filler. No invented statistics.
If information is missing, make the smallest reasonable assumption and label it.Claude users in code generation use this type narrowing prompt to ship faster drafts that respect "examples". Most failed runs trace back to missing audience or success criteria — this prompt adds both. The workflow version uses operational language and targets step order, checkpoints, and handoffs.
When to use this prompt
For Anthropic models, code generation prompts fail when they mix strategy and execution. This type narrowing brief separates the job so you can iterate once, not ten times. Pair it with a real sample from your portfolio for best results.
Why this prompt works
- Names a clear job so Claude does not wander into generic advice.
- Uses operational language that matches how practitioners actually brief work.
- Asks for a self-check pass, which cuts hallucinated details.
- Locks the audience (ts/python) before style so tone stays honest.
- Keeps code generation vocabulary specific instead of buzzwords.
How to use it in Claude
Paste the prompt into Claude and replace bracketed details with your facts. Name the success metric aloud: make invalid hard. If the draft cannot pass it, do not polish prose yet. Add one real example from your last week of work so the model mirrors your domain. If the first answer is vague, reply with the constraint again: examples. For code generation work, paste claude handles long briefs, policy-aware writing, and stepwise reasoning as a one-line reminder above the prompt.
Ask for a checklist ts/python would use. Then grade the draft against make invalid hard. For type narrowing in code generation, the failure mode is usually no example. This prompt blocks that by design — especially "examples". Expect two minutes customizing and two minutes editing for Workflow output. Anthropic models still need your facts for type narrowing; they cannot invent metrics or brand rules. developers teams bookmark slug type-narrowing-workflow when step order, checkpoints, and handoffs matters.
Step-by-step
- Open Claude and paste the prompt block unchanged.
- Replace placeholders with your project facts (ts/python, offer, timeline).
- Confirm the constraint is still visible: examples.
- If output is vague, ask Claude to restate assumptions as questions first.
- Reply with one fix list, then regenerate the final version only.
Example output
Example output shape: H1 with Type Narrowing, 3 short sections, bullet list of recommendations, closing line that states examples. Facts you supply appear; nothing invented.
Common mistakes
- Accepting the first draft without checking make invalid hard.
- Using the Workflow prompt but editing it into a vague one-liner.
- Pasting confidential data instead of redacted placeholders.
Expert notes
Anthropic users working on type narrowing in code generation should treat "examples" as non-negotiable. Functions, refactors, tests, and architecture sketches. When ts/python run the Workflow variant, they usually care about step order, checkpoints, and handoffs more than length.
If text output feels generic, re-paste examples as the first follow-up message — do not rewrite the whole prompt.
Comparison / variations
| Approach | When | Tweak |
|---|---|---|
| Bare request | You only need a spark | Write a type narrowing piece. |
| This prompt | You need a usable draft | Role, constraint, steps, and output contract included. |
| Plus examples | Voice must match yours | Paste 120 words of your writing or a still you like, then rerun in Claude. |
Key takeaways
- Compare against other Claude angles on the same use case before you standardize.
- ts/python should recognize themselves in the first paragraph.
- Claude improves when you paste a real snippet or reference still.
- State the job (make invalid hard) in one line before any style talk.
- The Workflow variant is for step order, checkpoints, and handoffs.
FAQ
- What is a Claude prompt for type narrowing?
- It is a structured brief that tells Claude how to produce code generation output for ts/python. This workflow version stresses step order, checkpoints, and handoffs and keeps "examples" in the instructions.
- How do I customize this Claude code generation prompt?
- Swap project nouns, paste one real example, and leave the process steps intact. The constraint "examples" should stay unless your brief truly changed.
- Why use the workflow angle for type narrowing?
- Different angles solve different failures. Workflow helps when ts/python need step order, checkpoints, and handoffs. It is not longer for its own sake — each line has a job.
- Is this Claude prompt updated for 2026?
- Yes. Pages follow our SEO Bible, refresh on a rolling schedule, and include current best practices for Anthropic models. Always verify facts before client delivery.