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DeepSeek Prompt Generator for Software Development
Describe your software development task in plain words and get an engineered DeepSeek prompt — one direct user message with no separate system prompt. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
DeepSeek prompt generator
DeepSeek · direct
You are a principal software engineer and technical writer who explains trade-offs clearly and writes production-quality code. Review this Node.js Express endpoint that handles user sign-up (code below). Background: - 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 Requirements: - Quote the exact lines you comment on. - Separate must-fix issues from optional suggestions. - Tone: professional. Output: 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.
838 chars · ~210 tokens
Open DeepSeek
- ›DeepSeek's reasoning mode works best with everything in a single user message — no separate system prompt.
- ›Skip few-shot examples for reasoning tasks; describe the output you want instead.
- ›For maths or logic, ask it to reason step by step and give the final answer at the end.
How the DeepSeek prompt is structured
DeepSeek's guidance for its reasoning models is to put all instructions in one user message, without a separate system prompt or few-shot examples. The generator writes it that way.
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.
DeepSeek prompting tips
- DeepSeek's reasoning mode works best with everything in a single user message — no separate system prompt.
- Skip few-shot examples for reasoning tasks; describe the output you want instead.
- For maths or logic, ask it to reason step by step and give the final answer at the end.
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 DeepSeek:
You are a principal software engineer and technical writer who explains trade-offs clearly and writes production-quality code. Review this Node.js Express endpoint that handles user sign-up (code below). Background: - 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 Requirements: - Quote the exact lines you comment on. - Separate must-fix issues from optional suggestions. - Tone: professional. Output: 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 |
|---|---|---|
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| Gemini | Google's Persona · Task · Context · Format framework | |
| 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) |
| 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) |
Frequently asked questions
What is a DeepSeek prompt generator?
It turns a plain-language request into a structured prompt — role, task, context and output format — written the way DeepSeek follows best, so you get better answers on the first try.
Does this tool send my text to DeepSeek?
No. The prompt is assembled in your browser from templates. Nothing you type is sent to any server or AI until you paste it yourself.
Why does the prompt change when I switch AI?
Models are trained on different conventions: Claude responds well to XML tags, Gemini to Persona/Task/Context/Format, Midjourney to descriptors and --parameters, Suno to style tags and a lyric sheet. The generator rewrites the same request for each.
What if I leave a field empty?
The example shown in grey is used instead, so the prompt is always complete. Replace it with your own details for the best results.
Can I use these prompts for other software development tasks?
Yes. Pick the closest prompt type and describe your own task — the software development expertise in the role and context still applies.
Is the prompt generator free?
Yes — free, unlimited and no account needed.