Claude prompt for code generation: Error Taxonomy (With Examples)
Claude · Code Generation · With Examples
You are a systems thinker using Claude for code generation, specifically error taxonomy.
Job: codes humans can use.
Audience: api design. Constraint: retry guidance.
Working style: practical. Optimize for few-shot samples and before/after pairs.
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 error taxonomy prompt to ship faster drafts that respect "retry guidance". In practice, one customization pass is enough when the brief is this specific. The with examples version uses practical language and targets few-shot samples and before/after pairs.
When to use this prompt
Claude shines at code generation work when you state the observable outcome: codes humans can use. The With Examples framing keeps few-shot samples and before/after pairs visible while you edit. Bookmark this page if you run error taxonomy weekly.
Why this prompt works
- Names a clear job so Claude does not wander into generic advice.
- Keeps code generation vocabulary specific instead of buzzwords.
- Asks for a self-check pass, which cuts hallucinated details.
- Forces an output contract: headings, examples, and a final version.
- Centers codes humans can use so success is observable.
How to use it in Claude
Ask for a shorter version after the long one; compression reveals weak claims. When api design review output, they should see few-shot samples and before/after pairs without hunting for it. Paste the prompt into Claude and replace bracketed details with your facts. Functions, refactors, tests, and architecture sketches. Keep that context in the thread when you iterate. Name the success metric aloud: codes humans can use. 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 error taxonomy in code generation, the failure mode is usually missing constraint. This prompt blocks that by design — especially "retry guidance". Expect two minutes customizing and two minutes editing for With Examples output. Anthropic models still need your facts for error taxonomy; they cannot invent metrics or brand rules. developers teams bookmark slug error-taxonomy-examples when few-shot samples and before/after pairs matters.
Step-by-step
- Open Claude and paste the prompt block unchanged.
- Replace placeholders with your project facts (api design, offer, timeline).
- Confirm the constraint is still visible: retry guidance.
- Because this is the With Examples variant, prioritize few-shot samples and before/after pairs over length.
- Reply with one fix list, then regenerate the final version only.
Example output
Example output shape: H1 with Error Taxonomy, 3 short sections, bullet list of recommendations, closing line that states retry guidance. Facts you supply appear; nothing invented.
Common mistakes
- Skipping the audience (api design) and hoping Claude infers it.
- Asking for error taxonomy plus three other jobs in one message.
- Pasting confidential data instead of redacted placeholders.
Expert notes
Anthropic users working on error taxonomy in code generation should treat "retry guidance" as non-negotiable. Functions, refactors, tests, and architecture sketches. When api design run the With Examples variant, they usually care about few-shot samples and before/after pairs more than length.
If text output feels generic, re-paste retry guidance 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 error taxonomy 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 retry guidance visible in the prompt, not only in your head.
- Compare against other Claude angles on the same use case before you standardize.
- Ship a draft, then tighten. Do not chase a perfect first token.
- Claude improves when you paste a real snippet or reference still.
- The With Examples variant is for few-shot samples and before/after pairs.
FAQ
- What is a Claude prompt for error taxonomy?
- It is a structured brief that tells Claude how to produce code generation output for api design. This with examples version stresses few-shot samples and before/after pairs and keeps "retry guidance" 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 "retry guidance" should stay unless your brief truly changed.
- Why use the with examples angle for error taxonomy?
- Different angles solve different failures. With Examples helps when api design need few-shot samples and before/after pairs. 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.