- No data uploaded
- Instant results
Gemini Prompt Generator for Software Development
Describe your software development task in plain words and get an engineered Gemini prompt — Google's Persona · Task · Context · Format framework. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Gemini prompt generator
Persona: You are a principal software engineer and technical writer who explains trade-offs clearly and writes production-quality code. Task: Review this Node.js Express endpoint that handles user sign-up (code below). Context: - The review is for: a mid-level developer preparing a pull request - Check correctness first, then security, performance, readability and tests. - Project details: PostgreSQL with the pg library; passwords must be hashed with bcrypt Constraints: - Quote the exact lines you comment on. - Separate must-fix issues from optional suggestions. - Tone: professional. Format: A one-line verdict, then a table with columns: Severity, Location, Issue, Suggested fix. Finish with a corrected version of the most important function. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Google's own guidance: give Gemini a Persona, a Task, Context and a Format.
- ›Attach files or Google Docs as extra context instead of pasting long text.
- ›Ask for a table when comparing options — you can export it to Google Sheets.
How the Gemini prompt is structured
Google's Gemini prompting guide organises prompts around four parts — Persona, Task, Context and Format. The generator fills each one from your plain-text answers.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
Gemini prompting tips
- Google's own guidance: give Gemini a Persona, a Task, Context and a Format.
- Attach files or Google Docs as extra context instead of pasting long text.
- Ask for a table when comparing options — you can export it to Google Sheets.
Software Development prompt types
Choose a prompt type for software development; each comes with an expert role, context rules and an output format:
- Code review — for example “this Node.js Express endpoint that handles user sign-up (code below)”.
- Technical documentation — for example “a README for an open-source CLI tool that compresses images”.
- Debugging help — for example “a React component that re-renders in an infinite loop after I added useEffect”.
Example output for Gemini:
Persona: You are a principal software engineer and technical writer who explains trade-offs clearly and writes production-quality code. Task: Review this Node.js Express endpoint that handles user sign-up (code below). Context: - The review is for: a mid-level developer preparing a pull request - Check correctness first, then security, performance, readability and tests. - Project details: PostgreSQL with the pg library; passwords must be hashed with bcrypt Constraints: - Quote the exact lines you comment on. - Separate must-fix issues from optional suggestions. - Tone: professional. Format: A one-line verdict, then a table with columns: Severity, Location, Issue, Suggested fix. Finish with a corrected version of the most important function. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI chat tools compared
| AI | Made by | Prompt style |
|---|---|---|
| Gemini | Google's Persona · Task · Context · Format framework | |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| Perplexity | Perplexity AI | a research brief with scope, sources and citations |
| Grok | xAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |