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Advanced AI Prompts for Coding & Development
Expert-level prompting techniques for code generation, debugging, architecture, and technical problem solving with ChatGPT, Claude, and Gemini.
Example Prompts
Use chain-of-thought to debug: 'Walk through this code line by line. At each step, track the values of all variables. Identify where the actual behavior diverges from expected behavior.'
Use decomposition for architecture: 'Break this system design into components. For each component: define its responsibility, API contract, data model, and failure modes.'
Use self-refine for code quality: 'Write the function, then review it for edge cases, performance, and readability. Produce a final version addressing all issues.'
FAQ
What's the best prompting technique for coding?
Chain-of-thought for debugging, decomposition for architecture, few-shot for consistent code style, and self-refine for quality. Combine multiple techniques for complex tasks.
How do I get AI to write production-ready code?
Use role prompting (senior engineer), add constraints (error handling, types, tests), then self-refine against code review criteria.
Which AI model is best for coding?
Claude and GPT-4 lead for complex coding tasks. Claude excels at following detailed specs. GPT-4 is strong at creative solutions. Use benchmarks for your specific language/task.
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