Technical Blog Post for Developer Audience
Write a technical blog post with code examples, architecture diagrams, and practical implementation details that developers will actually read and share.
Prompt Template
You are a senior engineer who writes popular technical blog posts. Write a technical article on: Topic: [specific technical topic] Target reader: [junior / mid / senior developers, DevOps, data engineers] Framework/language: [e.g., Next.js, Python, Go, Rust, Kubernetes] Article type: [tutorial / deep dive / comparison / lessons learned / architecture decision] Word count: [e.g., 2,000 words] Company blog or personal: [context for voice] Include: 1. **Title** — specific, searchable, no clickbait (developers hate clickbait) 2. **TL;DR** — 3-sentence summary at the top 3. **The problem** — what real-world issue prompted this, with a concrete scenario 4. **The solution** — step-by-step with working code examples 5. **Code blocks** — complete, copy-pasteable, with inline comments 6. **Architecture or flow diagram** (described in text/mermaid syntax) 7. **Gotchas and edge cases** — things that will bite readers in production 8. **Performance considerations** — benchmarks or complexity analysis where relevant 9. **What I'd do differently** — honest retrospective 10. **Further reading** — 3-5 related resources Writing rules: - No "In this article, we will..." intros - Show the final result first, then explain how to get there - Every paragraph earns its place — cut anything that's just padding - Code examples must be realistic, not toy examples
Example Output
# How We Cut Our Next.js Build Time from 12 Minutes to 90 Seconds
**TL;DR:** Our Next.js app's build time grew to 12 minutes as we hit 800+ pages. We fixed it by switching from `getStaticProps` to ISR, parallelizing image optimization, and moving to Turborepo. Build time: 12 min → 90 seconds. Here's exactly how.
The Problem
At Flowdesk, our marketing site has 800+ pages (blog, docs, changelogs, landing pages). Every deploy meant a 12-minute wait. Engineers started batching changes to avoid the build, which meant bugs shipped in larger, riskier chunks.
The Fix (3 Changes)
1. Incremental Static Regeneration
// Before: every page built at deploy time
export async function getStaticProps() {
const posts = await getAllPosts(); // 800+ API calls at build
return { props: { posts } };
}
// After: only build the top 50, regenerate the rest on-demand
export async function getStaticPaths() {
const topPosts = await getTopPosts(50);
return {
paths: topPosts.map(p => ({ params: { slug: p.slug } })),
fallback: 'blocking', // generate others on first request
};
}
export async function getStaticProps({ params }) {
const post = await getPost(params.slug);
return {
props: { post },
revalidate: 3600, // re-generate every hour
};
}
**Impact:** Build went from 800 pages → 50 pages. Time saved: ~8 minutes.
Gotcha
The `fallback: 'blocking'` option means the first visitor to an un-built page waits for generation. For us, that's fine — these are long-tail pages with <10 visits/day. If your tail pages get traffic, use `fallback: true` with a loading skeleton instead.
Tips for Best Results
- 💡Show the end result first (the fast build, the clean architecture) — then explain how you got there. Developers skim to decide if it's worth reading.
- 💡Include the version numbers of every tool and library — technical posts age fast and version context prevents hours of debugging
- 💡Ask for a 'common mistakes' section — it's often the most shared part of technical blog posts
Frequently Asked Questions
What is the Technical Blog Post for Developer Audience prompt?
Write a technical blog post with code examples, architecture diagrams, and practical implementation details that developers will actually read and share. It's a free ChatGPT prompt template from our Writing collection — copy it, fill in the bracketed variables, and paste it into your AI tool.
Which AI tools work with this prompt?
It's written and tested for ChatGPT, Claude and Gemini. Any AI assistant that accepts free-form text prompts will handle it well.
How do I customize this ChatGPT prompt?
Replace the bracketed variables — such as [specific technical topic], [e.g., 2,000 words], [context for voice] — with your own details before running it. Show the end result first (the fast build, the clean architecture) — then explain how you got there. Developers skim to decide if it's worth reading.
Is this prompt free to use?
Yes. Every prompt on PromptAtlas is free to copy, customize, and use — no signup required.
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