Best AI Prompts for Coding (2026)
Refactoring, secure APIs, containers and debugging, with checks for generated code
How to use: click Copy, replace the [amber fields] with your own material, and read the check under each set.
Prompts for coding tasks#
Five starting points#
5 promptsAct as a principal software architect. Review [PASTE YOUR CODEBASE MODULE] for architectural bottlenecks, memory leaks, and concurrency issues, and provide an optimized, refactored implementation in TypeScript.Act as a senior DevOps engineer. Write a robust, production-ready Dockerfile and multi-stage build script for a Next.js Node.js application deployed on Google Cloud Run with automated health checks.Act as an expert algorithm designer. Implement a high-performance caching layer in Python using Redis, featuring asynchronous connection pooling, TTL strategies, and fallback error handling.Act as a principal security engineer. Perform a comprehensive threat modeling and vulnerability audit on [DESCRIBE YOUR AUTHENTICATION WORKFLOW], identifying injection vectors and providing secure code patches.Act as a lead backend engineer. Write an efficient, scalable RESTful API endpoint in Node.js/Express with strict input validation using Zod, comprehensive error handling middleware, and structured JSON logging.What to add to any coding prompt#
- The language, framework and version, and the files or error output the model needs.
- The constraints, such as no new dependencies or a required style.
- A request for tests that fail without the change.
- An instruction to say what it is unsure about instead of guessing. Anthropic's guide includes a sample instruction not to speculate about code the model has not opened.
The full prompt library is on our prompt library page.
Key context and caveats#
Both Anthropic and OpenAI publish coding-specific advice, and it points the same way. OpenAI's guide says coding prompts work best when you define the agent's role, enforce structured tool use with examples, require thorough testing and set output standards, and it advises telling the model to test changes with unit tests. Anthropic's guide includes sample instructions such as avoiding over-engineering and not hard-coding values or building solutions that only work for specific test inputs.
That guidance is about how to ask. It does not say a prompt makes code correct. Our analysis: treat model output as an unreviewed contribution. The evidence summarised in our guide to AI-generated code quality shows why review and tests matter.
At a Glance#
| Step | What to do | Why |
|---|---|---|
| Ask | Role, task, constraints, tests | Providers recommend explicit instructions |
| Run | Execute tests and the code | Output is not guaranteed correct |
| Review | Read changed logic and dependencies | Fabricated packages and insecure code appear in studies |
Sources & Further Reading#
Every source below was fetched on 2026-10-21 unless a row says otherwise.
| Claim | Source | Section or date |
|---|---|---|
| Define the role, require testing, test changes with unit tests | Prompt engineering (OpenAI) | Coding section; undated |
| Be explicit; avoid over-engineering; do not hard-code to tests; do not speculate about unopened code | Prompting best practices (Anthropic) | Agentic coding sections; undated |
| 45% of samples failed security tests across more than 100 models | GenAI Code Security Report (Veracode) | July 30, 2025 |
| Models recommend packages that do not exist | We Have a Package for You! (USENIX Security 2025) | Abstract; August 2025 |
Direct answer
What are the best AI prompts for coding?
No single prompt is best for coding. Give a clear role, task, language and constraints, and ask the model to test its changes, as Anthropic and OpenAI advise. Then run the code yourself, because generated code can be wrong or import packages that do not exist.
How we sourced this
Model names, features and limits change often. The prompts below are our own untested starting points, and we did not measure which wording performs best. Facts are as printed on each provider page on the date shown.
Need a different task?
Browse all 36 tasks and 180 prompts, with search and level filters.
How we weigh evidence, and what terms like AGI and ASI mean on this site, is explained in our methodology.
Frequently asked questions
What are the best AI prompts for coding?
No single prompt is best for coding. Give a clear role, task, language and constraints, and ask the model to test its changes, as Anthropic and OpenAI advise. Then run the code yourself, because generated code can be wrong or import packages that do not exist.
How should I structure an AI prompt for coding?
State the role, the exact task, the language and framework, constraints and the output format, then ask for tests. Anthropic recommends being explicit and sets a role in the system prompt, while OpenAI recommends requiring thorough testing. Give the model the relevant files instead of describing them.
Can I trust code that an AI writes?
Not without checking. Veracode reported 45% of code samples from more than 100 models failed its security tests, and a USENIX Security 2025 study found models recommend packages that do not exist. Run the tests, read changed logic and verify every dependency before merging.