30 ChatGPT Prompts for Developers to Boost Coding

Software development demands many skills at once — writing clean code, designing systems, debugging, explaining decisions to non-technical people and constantly learning new tools. The right ChatGPT prompts for developers help you work faster at every layer of that job, from the first line of code to your next career move.

Below are 30 prompts in five groups: writing and reviewing code, debugging, architecture and tools, documentation and communication, and learning and career growth. They work in ChatGPT or any other AI chatbot.

‘Review my code’ gets a generic review. A prompt with context gets targeted, actionable help. Include:

• Language, framework and version: so suggestions match your actual stack
• Intended behaviour: what the code should do, and what it actually does
• What you care about: readability, performance, security or learning the concept yourself
• A verification habit: AI can produce plausible code with subtle bugs or deprecated APIs, so test everything in your own environment and never paste secrets

For structured explanations and step-by-step code, GPT-5.6 Sol is a strong default.

Six prompts for everyday coding tasks. Claude Sonnet 4.6 is a dependable second opinion on code quality.

1. Code review partner

Review this code as a senior engineer who values readability, performance and maintainability equally. Language and context: [describe]. Check correctness, missed edge cases, performance, naming, security and best practices for this language. For each issue, explain what is wrong, why it matters and show an improved version, ordered by severity. Also tell me what is genuinely good about the code. Code: [paste]

2. Function from a spec

Write a [language] function that [describe behaviour], with these inputs and outputs: [describe]. Handle these edge cases: [list]. Follow [style guide or conventions], add a short docstring and include three unit tests.

3. Translate between languages

Convert this [source language] code to idiomatic [target language]: [paste]. Use the target language’s standard libraries and conventions rather than a line-by-line copy, and point out any behaviour that differs between the two.

4. Regex builder

Write a regular expression for [language or tool] that matches [describe] and does not match [describe]. Explain each part, and show five test strings — three that should match and two that should not.

5. SQL query writer

Here is my schema: [paste tables and columns]. Write a [PostgreSQL / MySQL] query that returns [describe result]. Explain the logic, flag any assumptions about the data, and suggest an index if performance could be a problem.

6. Explain unfamiliar code

Explain what this code does, step by step, as if I am new to [language or framework]: [paste]. Point out any patterns, libraries or syntax I should look up, and anything that looks unusual or risky.

Asking for tests alongside any generated code is the fastest way to check it actually works. For a full set of review prompts — bugs, security, performance and PR comments — see our Claude prompts for code review.

Six prompts for when something is broken and you do not know why. DeepSeek V4 Pro is good at working through hypotheses one at a time.

7. Debugging assistant

Help me debug this. Expected: [describe]. Actual: [describe or paste the error]. Code: [paste]. Environment: [language version, framework, OS, recent changes]. List the most likely causes, what to check first and how to confirm or rule out each. Explain the reasoning so I can handle similar bugs myself.

8. Error message explainer

Explain this error message in plain language: [paste]. What does it usually mean, what are the three most common causes, and how do I find which one applies to my code?

9. Performance bottleneck finder

This code is slower than expected: [paste]. Typical input size: [describe]. Identify the likely bottlenecks, explain the complexity of each, and suggest how to measure before I optimise.

10. Works locally, fails in production

My code works on my machine but fails in [staging / production / CI] with: [describe]. List the environment differences that commonly cause this — configuration, versions, permissions, data, timing — and a checklist to narrow it down.

11. Flaky test investigator

This test passes sometimes and fails sometimes: [paste test and relevant code]. List the likely causes — timing, shared state, order dependence, randomness or external services — and how to make it reliable.

12. Dependency conflict resolver

I am getting this dependency or version conflict: [paste the error and dependency file]. Explain what is conflicting and suggest safe ways to resolve it. Remind me to check the official changelogs, since your information may be out of date.

Change one thing at a time while debugging, or you will not know which change fixed it. When a bug resists every fix, our ChatGPT prompts for problem solving help you question the assumptions you are working from.

Six prompts for design decisions and the tools around your code. Gemini 3 Pro can hold long specs and config files in one conversation.

13. System design advisor

Help me design [system: what it does, who uses it, at what scale]. Requirements: [list]. Constraints: [team, stack, budget, timeline]. Cover the main components, data flow, database approach, API strategy, scalability and reliability, and the trade-offs versus alternatives. Highlight the two or three decisions with the most long-term impact.

14. Technology evaluation

Evaluate [technology] for [use case]. Current stack: [describe]. Team: [size and experience]. Cover its strengths, weaknesses, learning curve, community and maintenance outlook, migration cost if we move away later, and how it compares to [alternatives]. Give a recommendation and flag when I should reconsider.

15. Refactoring guide

Refactor this code without changing its behaviour. Goals: [readability, less duplication, testability or performance]. Code: [paste]. Assess the current quality, show the refactored version, explain each significant change and its trade-offs, and list the unit tests I should write to confirm nothing changed.

16. API design check

Review this API design before I build it: [paste endpoints and request/response shapes]. Check naming consistency, error responses, pagination, versioning and anything a client will obviously need that is missing.

17. Git command helper

I am in this Git situation: [describe, e.g. committed to the wrong branch or need to undo a merge]. Give me the exact commands to fix it safely, explain what each does, and warn me about anything that rewrites shared history.

18. Config file explainer

Explain this [Dockerfile / CI pipeline / Kubernetes manifest / build config] line by line: [paste, with secrets removed]. Point out anything inefficient, insecure or outdated, and suggest improvements.

Prompt 14’s migration-cost question is the one most teams skip and later regret. For requirements, ADRs, incident response and the rest of the lifecycle, see our Claude prompts for software engineering.

Six prompts for the writing that surrounds your code. Claude Haiku 4.5 is quick enough for commit messages and small docs.

19. Technical documentation writer

Write documentation for [function, endpoint, module or system] for [audience]. Code or spec: [paste]. Cover what it does and why, inputs with types and constraints, outputs, error cases, real usage examples and known limitations — clear enough that the reader never needs to ask a follow-up question.

20. Technical communication coach

Help me explain [technical topic or decision] to [audience, e.g. product managers or executives] so they can [outcome]. Translate it into business or user impact, suggest a helpful analogy, start with the outcome before the details, and anticipate their likely questions and misconceptions.

21. Commit message writer

Write a clear commit message for this diff using [Conventional Commits / our team format]: [paste]. Keep the subject under 50 characters and explain the why in the body.

22. Pull request description

Write a pull request description for these changes: [paste diff or summary]. Include what changed and why, how it was tested, any risks or follow-ups and what reviewers should focus on.

23. Docstrings and comments

Add docstrings to the public functions in this code and suggest comments only where the reason behind the code is not obvious: [paste]. Remove comments that just repeat what the code says.

24. Estimate and status update

Turn these notes into a short status update for my team lead: [paste]. Include what is done, what is in progress, blockers, a realistic estimate for the rest and what I need from others.

Good writing saves as much time as good code — every clear PR description is one less meeting. A quick pass with the AI grammar checker helps when you are writing in a second language.

Six prompts for learning faster and moving your career forward. For your profile and networking, our ChatGPT prompts for LinkedIn pair well with the last two prompts here.

25. Algorithm and data structure tutor

Explain [algorithm or data structure] for someone at [experience level] who wants to [context]. Cover what problem it solves, time and space complexity with an intuitive explanation, an example in [language] and when to use it instead of alternatives. Then give me a practice problem and review my attempt before showing the solution.

26. Learning roadmap builder

Build a roadmap to learn [skill] for [goal] with [hours] a week. I already know [skills]. Break it into stages with milestones, the type of resource for each stage, a project to build at each stage, the most common trap at each stage and how to know I am ready to move on.

27. Technical interview preparation

Help me prepare for a [junior / mid / senior] [frontend / backend / full-stack] interview at [company type]. Format: [coding, system design, behavioural]. Give me 5 practice problems at my level, a think-aloud framework, the three most common mistakes at my level and help structuring STAR answers for likely behavioural questions.

28. Mock system design interview

Run a 30-minute mock system design interview for a [level] role. Ask me one question at a time, push back on weak points like a real interviewer, and at the end score me on requirements gathering, design, trade-offs and communication.

29. Portfolio project ideas

Suggest five portfolio projects that would show employers I can [target skills] for [target role]. For each, give the scope for a four-week build, the features that make it stand out and what to write in the README.

30. Developer resume bullets

Turn these project notes into strong resume bullet points for a developer role: [paste]. Lead with impact, include the technologies used and quantify results where I have given real numbers — do not invent any.

Prompt 25 works best if you attempt the practice problem before looking at the answer — active practice is what sticks in interviews. For prompting technique beyond code, see the main ChatGPT prompts guide.

Chat Smith gives you ChatGPT alongside Claude, Gemini, Grok and DeepSeek in one app, so you can run the same design question or bug through several AI models and compare. Save your review, debugging and documentation prompts as templates so they are ready for every PR and bug report.

The best developers communicate clearly, design thoughtfully, debug systematically and keep learning. These prompts support every one of those habits — as long as you keep testing what AI gives you.