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Best Coding Prompts for Developers
AI coding assistants have moved from novelty to genuine productivity tool for most developers. The difference between developers who get strong results and those who get frustrating hallucinations usually comes down to prompt quality. These prompts cover the scenarios where good prompting makes the biggest difference.
How to prompt AI for code effectively
The most important principle in coding prompts is context. AI models don't know your codebase, your tech stack, your constraints, or your team's conventions. Every effective coding prompt provides that context upfront.
Before asking for code, state: the language and version, the framework or library being used, any constraints (performance requirements, type safety requirements, existing patterns to follow), and what the code needs to do — not just what it should return, but the scenario it handles. The more context you provide, the less the model has to guess, and guessing is where hallucinations come from.
For complex tasks, decompose before you prompt. Instead of asking for a complete feature in one shot, ask for the architecture first, then the individual components, then the integration. This produces better code and makes errors easier to catch.
Code generation prompts
Function generation
Write a Python function that takes a list of dictionaries representing products [{name, price, category}] and returns a dictionary grouped by category, with each value being a list of products sorted by price ascending. Include type hints, a docstring, and 3 unit tests.
API integration
Write a TypeScript function that calls the GitHub API to get the last 10 commits for a given repository. Use fetch with async/await. Handle 401, 404, and rate limit errors with specific error messages. Return a typed array of commit objects with sha, message, author, and date fields.
SQL query
Write a SQL query for PostgreSQL that returns the top 10 customers by total revenue in the last 90 days. Tables: orders (id, customer_id, created_at, total_amount), customers (id, name, email). Include only completed orders (status = 'completed'). Format the result with customer name, email, order count, and total revenue rounded to 2 decimal places.
Debugging
I have a bug in this JavaScript function — it returns undefined instead of the expected array. Here is the function: [paste code]. Here is what I'm passing in: [paste input]. Here is the expected output: [paste expected]. Explain what's causing the bug, then provide a corrected version.
Code review
Act as a senior engineer performing a code review. Review this function for: (a) correctness, (b) edge cases not handled, (c) security vulnerabilities, (d) performance issues, (e) readability and naming. Provide specific, actionable feedback for each issue found. [paste code]
Refactoring
Refactor this function to be more readable and maintainable. Goals: (a) eliminate duplication, (b) name variables more clearly, (c) break into smaller helper functions if appropriate, (d) add brief inline comments for non-obvious logic. Do not change the function's behavior. [paste code]
Documentation
Write a complete README section for this function, including: purpose, parameters with types and descriptions, return value, usage examples (at least 2), edge cases to be aware of, and any known limitations. [paste function]
Architecture and design prompts
System design
Act as a senior software architect. Design a system for a real-time notification service that needs to handle 100,000 concurrent users. Cover: architecture components, technology choices with justifications, data flow, failure modes and mitigations, and estimated infrastructure costs at scale.
Common developer prompting mistakes
- Not providing language/framework context. "Write a function to sort an array" could mean 10 different languages and patterns.
- Asking for too much at once. Ask for architecture first, then components, then tests. One job per prompt.
- Not including the error message when debugging. Always include the full error, the relevant code, and what you expected to happen.
- Accepting code without testing. AI-generated code is often syntactically correct but logically wrong. Always test.
- Skipping edge cases in the prompt. If you need edge cases handled, state them. AI won't assume them.
Related tools
- Copilot Prompt Generator — Microsoft Copilot prompts for development
- Claude Prompt Generator — Claude prompts optimized for technical tasks
- Research Prompt Generator — Technical research and comparison prompts
- ChatGPT Prompt Generator
- Best Claude Prompts
- Best Copilot Prompts
