Developer Guide Hub

AI Prompts for Developers

Master AI-assisted coding with prompts optimized for code generation, debugging, refactoring, and architecture decisions. Learn which frameworks work best for different coding tasks and how to get production-ready output from ChatGPT and Claude.

Coding Use Cases

Code Generation

Generate functions, classes, and boilerplate from natural language descriptions.

Specify language and version
Include type requirements
Request error handling

Debugging

Find and fix bugs with AI-assisted code analysis and step-by-step reasoning.

Include error messages
Describe expected vs actual behavior
Use Chain-of-Thought

Code Review

Get AI feedback on security, performance, and best practices.

Specify review focus areas
Request severity levels
Ask for specific line feedback

Architecture Decisions

Evaluate technical approaches and make informed design choices.

Use Tree-of-Thought for options
Specify constraints
Request trade-off analysis

Pro Tips for AI-Assisted Coding

Be specific about language and version: "Write Python 3.11 code using type hints" produces better results than "Write Python code."

Use RISE for code generation: Define the Role (senior developer), Instructions (what to build), Steps (implementation order), and Expectations (output format, error handling).

Use Chain-of-Thought for debugging: Ask the AI to trace through the code step by step. This dramatically improves bug detection accuracy.

Request tests alongside code: "Generate the function and unit tests using pytest" ensures you get testable, working code.

For architecture decisions, use Tree-of-Thought: Ask for 3 different approaches, evaluate trade-offs, then select the best fit.

Optimize Your Coding Prompts

PromptWizz automatically applies the right framework for your coding task—whether it's code generation, debugging, or architecture decisions.