100+ AI Prompts for Developers – Code Faster, Debug Smarter, Ace Interviews

• Purpose: [DESCRIBE FUNCTIONALITY]
• Inputs: [LIST PARAMETERS]
• Outputs: [EXPECTED RETURN TYPE]
• Constraints: [PERFORMANCE, MEMORY, LIBRARY LIMITS]

1. A complete, well‑documented code snippet
2. Explanation of each major section
3. Complexity analysis (time & space)
4. Potential edge‑case handling
5. Tests you would write for this function

• Method: [GET/POST/PUT/DELETE]
• URL Pattern: /api/v1/[resource]
• Authentication: [JWT/OAuth/API‑Key]
• Request Body (if any): [JSON STRUCTURE]
• Response Expectations: [SUCCESS/ERROR FORMATS]

1. Full route definition (controller method)
2. Request validation rules
3. Sample controller logic
4. Example response payloads (success & error)
5. Documentation comment block (e.g., Swagger)

[PASTE CODE SNIPPET]

1. Identify the exact error message and its cause.
2. Explain why the bug occurs in plain English.
3. Suggest a minimal fix (one‑liner if possible).
4. Provide a refactored version that follows best practices.
5. List unit tests that would catch this issue.

[PASTE CODE]

1. A list of potential bottlenecks (time/space complexity).
2. Specific optimization techniques (cache, memoization, algorithmic upgrade).
3. Refactored version with improvements.
4. Before‑and‑after benchmark estimates.
5. Explanation of trade‑offs.

• Core algorithms
• System design basics
• Language‑specific concepts
• Behavioral scenarios

1. A clear problem statement
2. Expected input & output format
3. Hint or scoring rubric
4. Follow‑up “deep‑dive” question

1. Problem restatement
2. Brute‑force approach
3. Optimized approach with complexity analysis
4. Pseudo‑code or flowchart
5. Common pitfalls and edge cases

• [NUMBER] easy, [NUMBER] medium, and [NUMBER] hard problems.

1. Problem name and brief description
2. Key constraints
3. Suggested algorithmic technique
4. Sample test cases

• Problem statement in one sentence
• Recurrence relation
• Base cases
• Top‑down vs bottom‑up implementation sketch
• Complexity analysis
• Typical edge‑case tests

• Method: [GET/POST/PUT/DELETE]
• Path: /api/v1/[resource]
• Request body (if any) – list fields with type & description
• Response schema – success & error objects
• Security requirements (Bearer token, API key, etc.)

• A hook that grabs attention within the first two sentences.
• Brief context about why the topic matters today.
• One or two concise thesis statements outlining what the reader will learn.
• Any supporting statistics or quotes you can weave in.

• Monthly milestones (libraries, frameworks, tools)
• Weekly study hours suggestion
• Project ideas for each month
• Recommended free resources (courses, docs, tutorials)
• Progress‑tracking checklist

• [CONCEPT 1]
• [CONCEPT 2]
• [CONCEPT 3]

1. One‑sentence definition
2. Key formulas or code snippets
3. When to use it
4. Typical interview question
5. Memory tip or mnemonic