Claude prompt for code generation: Type Narrowing (Starter)
Claude · Code Generation · Starter
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: plain and encouraging. Optimize for first successful run with safe defaults.
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.A Claude prompt for code generation is a copy-ready brief for type narrowing aimed at ts/python. Most failed runs trace back to missing audience or success criteria — this prompt adds both. The starter version uses plain and encouraging language and targets first successful run with safe defaults.
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.
- Repeats the hard constraint: examples.
- Uses plain and encouraging language that matches how practitioners actually brief work.
- Separates draft from critique so you can steal the structure later.
- Locks the audience (ts/python) before style so tone stays honest.
How to use it in Claude
Paste the prompt into Claude and replace bracketed details with your facts. Redact client names; keep structure. Slug type-narrowing-starter is your canonical URL for this brief. Save the winning variant for type narrowing — teams with a short library ship faster. Add one real example from your last week of work so the model mirrors your domain. Name the success metric aloud: make invalid hard. If the draft cannot pass it, do not polish prose yet.
Have Claude list assumptions about code generation before drafting. Delete any you cannot defend. 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 Starter output. Anthropic models still need your facts for type narrowing; they cannot invent metrics or brand rules. developers teams bookmark slug type-narrowing-starter when first successful run with safe defaults 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 Starter prompt but editing it into a vague one-liner.
- Pasting confidential data instead of redacted placeholders.
Expert notes
Slug type-narrowing-starter: a developers-oriented code generation brief. Functions, refactors, tests, and architecture sketches. Pair it with one real asset from your portfolio before the second run.
Refresh quarterly: Claude models change. Keep constraints; update examples. Mark the page stale if examples no longer matches policy.
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
- Keep examples visible in the prompt, not only in your head.
- The Starter variant is for first successful run with safe defaults.
- Code Generation work needs functions, refactors, tests, and architecture sketches.
- ts/python should recognize themselves in the first paragraph.
- If text output drifts, re-anchor with examples.
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 starter version stresses first successful run with safe defaults 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 starter angle for type narrowing?
- Different angles solve different failures. Starter helps when ts/python need first successful run with safe defaults. 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.