The Best Prompts for Writing Code with ChatGPT (2026)
ChatGPT and Claude have become the de facto co-pilot for the developers. But there's a huge difference between asking for code anyway and using Structured prompts that generate clean, safe and production-ready code.
The Universal Prompt for Generating Code
Acts as a [senior/principal] developer expert in [stack
technological].
I need to implement: [clear functional description]
Context technical:
- Language: [language and version]
- Framework: [name and version]
- Library testing: [if applicable]
- Restrictions: [performance, hosting, compatibility, etc.]
The code must comply:
- Clean code and friendly names
- Management of all cases of error
- Comments for non-obvious logic
- No unnecessary dependencies
Includes the final: 3 test cases (happy path, error, edge case)
I need to implement: [clear functional description]
Context technical:
- Language: [language and version]
- Framework: [name and version]
- Library testing: [if applicable]
- Restrictions: [performance, hosting, compatibility, etc.]
The code must comply:
- Clean code and friendly names
- Management of all cases of error
- Comments for non-obvious logic
- No unnecessary dependencies
Includes the final: 3 test cases (happy path, error, edge case)
Prompts for Software Architecture
REST API Design:
Act as a software architect senior. Design a REST API for [system description]. Includes: endpoint definition (method, path, body, response), database schema, authentication/authorization strategy, standard error handling and scalability considerations. Format: OpenAPI specification simplified.
Act as a software architect senior. Design a REST API for [system description]. Includes: endpoint definition (method, path, body, response), database schema, authentication/authorization strategy, standard error handling and scalability considerations. Format: OpenAPI specification simplified.
Prompts for Automated Tests
Generate test suite:
You are a QA engineer expert in [Jest/Pytest/JUnit]. Write a complete test suite for the following function/class. Covers: success cases (happy path), expected error cases, edge cases (null values, empty values, extremes) and integration tests if applicable. Use mocks where necessary.
[CODE TO TEST]
You are a QA engineer expert in [Jest/Pytest/JUnit]. Write a complete test suite for the following function/class. Covers: success cases (happy path), expected error cases, edge cases (null values, empty values, extremes) and integration tests if applicable. Use mocks where necessary.
[CODE TO TEST]
Prompts for Performance Optimization
Performance analysis:
Acts as a performance engineer. Analyze the following code and identify: performance bottlenecks, algorithmic complexity current (Big O) and how to improve it, inefficient memory usage, N+1 queries or unnecessary calls to external resources. For each problem, provide the optimized solution with explanation of the trade-off.
[CODE]
Acts as a performance engineer. Analyze the following code and identify: performance bottlenecks, algorithmic complexity current (Big O) and how to improve it, inefficient memory usage, N+1 queries or unnecessary calls to external resources. For each problem, provide the optimized solution with explanation of the trade-off.
[CODE]
Common Mistakes When Requesting Code from AI
- Do not specify the language/framework version (the code may be incompatible)
- Not including project context (generates code that does not fit with the existing architecture)
- Order everything at once instead of breaking it down into components
- Do not ask for error handling explicitly
- Accept the code without reviewing or understanding it
Generate Custom Code Prompts
Select your technology in the generator (React, Python, Node.js...) and automatically get the perfect mega-prompt for your programming task.
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