Gemini prompt for code generation: Type Narrowing (With Examples)
Gemini · Code Generation · With Examples
You are a hands-on practitioner using Gemini for code generation, specifically type narrowing.
Job: make invalid hard.
Audience: ts/python. Constraint: examples.
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.A strong Gemini code generation type narrowing prompt names the job, audience, and finish line. This page does that for ts/python. Teams report saving 15–30 minutes per task when prompts include constraints up front. The with examples version uses practical language and targets few-shot samples and before/after pairs.
When to use this prompt
Picture a ts/python professional opening Gemini with one job: type narrowing. Without "examples", answers drift. This page prevents that drift. Pair it with a real sample from your portfolio for best results.
Why this prompt works
- Locks the audience (ts/python) before style so tone stays honest.
- Forces an output contract: headings, examples, and a final version.
- Keeps code generation vocabulary specific instead of buzzwords.
- Uses practical language that matches how practitioners actually brief work.
- Separates draft from critique so you can steal the structure later.
How to use it in Gemini
Save the winning variant for type narrowing — teams with a short library ship faster. For code generation work, paste gemini is useful for research synthesis, workspace-style tasks, and multimodal briefs as a one-line reminder above the prompt. Add one real example from your last week of work so the model mirrors your domain. When ts/python review output, they should see few-shot samples and before/after pairs without hunting for it. Redact client names; keep structure. Slug type-narrowing-examples is your canonical URL for this brief.
Start with the ugly first pass for type narrowing. Name what is wrong in five bullets, then rerun in Gemini. 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 With Examples output. Google models still need your facts for type narrowing; they cannot invent metrics or brand rules. developers teams bookmark slug type-narrowing-examples when few-shot samples and before/after pairs matters.
Step-by-step
- Open Gemini and paste the prompt block unchanged.
- Replace placeholders with your project facts (ts/python, offer, timeline).
- Confirm the constraint is still visible: examples.
- 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 Type Narrowing, 3 short sections, bullet list of recommendations, closing line that states examples. Facts you supply appear; nothing invented.
Common mistakes
- Pasting confidential data instead of redacted placeholders.
- Asking for type narrowing plus three other jobs in one message.
- Ignoring the output contract headings.
Expert notes
Practitioners choose With Examples when type narrowing needs few-shot samples and before/after pairs. Gemini from Google still needs your facts — especially for examples.
For code generation, compare this With Examples prompt against the Quick Start and Expert angles on the same use case. Keep the structure that scores higher on make invalid hard.
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 Gemini. |
Key takeaways
- The With Examples variant is for few-shot samples and before/after pairs.
- Compare against other Gemini angles on the same use case before you standardize.
- Gemini improves when you paste a real snippet or reference still.
- State the job (make invalid hard) in one line before any style talk.
- Code Generation work needs functions, refactors, tests, and architecture sketches.
FAQ
- What is a Gemini prompt for type narrowing?
- It is a structured brief that tells Gemini how to produce code generation output for ts/python. This with examples version stresses few-shot samples and before/after pairs and keeps "examples" in the instructions.
- How do I customize this Gemini 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 with examples angle for type narrowing?
- Different angles solve different failures. With Examples helps when ts/python need few-shot samples and before/after pairs. It is not longer for its own sake — each line has a job.
- Is this Gemini prompt updated for 2026?
- Yes. Pages follow our SEO Bible, refresh on a rolling schedule, and include current best practices for Google models. Always verify facts before client delivery.