ChatGPT prompt for code generation: Security Review (With Examples)
ChatGPT · Code Generation · With Examples
You are a exacting editor using ChatGPT for code generation, specifically security review.
Job: threat notes on a snippet.
Audience: appsec. Constraint: owasp lens.
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.ChatGPT users in code generation use this security review prompt to ship faster drafts that respect "owasp lens". Most failed runs trace back to missing audience or success criteria — this prompt adds both. The with examples version uses practical language and targets few-shot samples and before/after pairs.
When to use this prompt
For OpenAI models, code generation prompts fail when they mix strategy and execution. This security review brief separates the job so you can iterate once, not ten times. Bookmark this page if you run security review weekly.
Why this prompt works
- Centers threat notes on a snippet so success is observable.
- Locks the audience (appsec) before style so tone stays honest.
- Names a clear job so ChatGPT does not wander into generic advice.
- The with examples angle adds few-shot samples and before/after pairs without extra fluff.
- Keeps code generation vocabulary specific instead of buzzwords.
How to use it in ChatGPT
If the first answer is vague, reply with the constraint again: owasp lens. Save the winning variant for security review — teams with a short library ship faster. Paste the prompt into ChatGPT and replace bracketed details with your facts. Functions, refactors, tests, and architecture sketches. Keep that context in the thread when you iterate. This With Examples path is for appsec who care about threat notes on a snippet.
Start with the ugly first pass for security review. Name what is wrong in five bullets, then rerun in ChatGPT. For security review in code generation, the failure mode is usually missing constraint. This prompt blocks that by design — especially "owasp lens". Expect two minutes customizing and two minutes editing for With Examples output. OpenAI models still need your facts for security review; they cannot invent metrics or brand rules. developers teams bookmark slug security-review-examples when few-shot samples and before/after pairs matters.
Step-by-step
- Open ChatGPT and paste the prompt block unchanged.
- Replace placeholders with your project facts (appsec, offer, timeline).
- Confirm the constraint is still visible: owasp lens.
- 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 Security Review, 3 short sections, bullet list of recommendations, closing line that states owasp lens. Facts you supply appear; nothing invented.
Common mistakes
- Accepting the first draft without checking threat notes on a snippet.
- Using the With Examples prompt but editing it into a vague one-liner.
- Pasting confidential data instead of redacted placeholders.
Expert notes
Slug security-review-examples: 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: ChatGPT models change. Keep constraints; update examples. Mark the page stale if owasp lens no longer matches policy.
Comparison / variations
| Approach | When | Tweak |
|---|---|---|
| Bare request | You only need a spark | Write a security review 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 ChatGPT. |
Key takeaways
- If text output drifts, re-anchor with owasp lens.
- Ship a draft, then tighten. Do not chase a perfect first token.
- appsec should recognize themselves in the first paragraph.
- Compare against other ChatGPT angles on the same use case before you standardize.
- Keep owasp lens visible in the prompt, not only in your head.
FAQ
- What is a ChatGPT prompt for security review?
- It is a structured brief that tells ChatGPT how to produce code generation output for appsec. This with examples version stresses few-shot samples and before/after pairs and keeps "owasp lens" in the instructions.
- How do I customize this ChatGPT code generation prompt?
- Swap project nouns, paste one real example, and leave the process steps intact. The constraint "owasp lens" should stay unless your brief truly changed.
- Why use the with examples angle for security review?
- Different angles solve different failures. With Examples helps when appsec need few-shot samples and before/after pairs. It is not longer for its own sake — each line has a job.
- Is this ChatGPT prompt updated for 2026?
- Yes. Pages follow our SEO Bible, refresh on a rolling schedule, and include current best practices for OpenAI models. Always verify facts before client delivery.