AI Tools for Writing, Reviewing, and Debugging Code
AI coding assistants have become the highest-ROI productivity tool for software developers — not because they write perfect code, but because they handle the boilerplate, catch the obvious bugs, and explain the unfamiliar so developers can move faster on the work that matters.
How teams typically do this
Best AI tools to write, review & debug code
The AI code editor most developers switch to and don't leave. Codebase-aware autocomplete and chat that understands your entire project, not just the file you're in. The biggest single productivity improvement available to developers right now.
The most widely adopted AI coding tool in professional teams. Deep integration with VS Code and JetBrains, strong code completion, and a capable chat mode for code review and refactoring.
The best AI for complex coding tasks that require understanding context across many files or explaining subtle bugs. Particularly strong at code review, architecture discussions, and debugging with nuanced reasoning.
Prompts to get started
Get a structured diagnosis and fix for a coding error. More useful than Googling the error message.
Help me debug this error. Error message: [PASTE ERROR] Relevant code: [PASTE THE CODE CAUSING THE ERROR] Context: - Language / framework: [e.g. Python 3.11, React 18, Django] - What I was trying to do: [describe] - What I've already tried: [list anything you've attempted] Please: 1. Explain what the error means in plain language 2. Identify the most likely cause 3. Provide a fix with the corrected code 4. Explain why the fix works 5. Flag any related issues I should check
Generate comprehensive tests including edge cases you might have missed.
Write unit tests for this function. [PASTE YOUR FUNCTION] Language/framework: [Python + pytest / JavaScript + Jest / TypeScript + Vitest] Please write tests covering: 1. Happy path: expected input/output 2. Edge cases: empty, null, boundary, large inputs 3. Error cases: invalid types, out-of-range, expected exceptions 4. Side effects: mock external calls For each test: - A descriptive test name - Arrange / Act / Assert structure - Comment explaining what failure would mean
Understand unfamiliar code quickly.
Explain this code to me. [PASTE THE CODE] Language/framework: [describe if not obvious] What I'm trying to understand: [the whole thing / a specific part] My experience level: [beginner / intermediate / experienced in another language] Please explain: 1. What it does overall (plain English, 2-3 sentences) 2. What each major section or function does 3. Patterns, libraries, or techniques to understand 4. Potential issues to watch for 5. How I'd modify it to [specific change if you have one]
Get a refactored version with clear explanations of what changed and why.
Refactor this code for readability and maintainability. [PASTE CODE] Language: [describe] Context: [what this code does] Priorities (check all that apply): - [ ] Improve naming - [ ] Break up long functions - [ ] Remove duplication - [ ] Add comments - [ ] Improve error handling Constraints: must not change external behaviour. [Other constraints] Please: 1. Return the refactored code 2. List each change and why 3. Flag bigger architectural issues to address separately
Get a structured diagnosis and fix for a coding error. More useful than Googling the error message.
Help me debug this error. Error message: [PASTE ERROR] Relevant code: [PASTE THE CODE CAUSING THE ERROR] Context: - Language / framework: [e.g. Python 3.11, React 18, Django] - What I was trying to do: [describe] - What I've already tried: [list anything you've attempted] Please: 1. Explain what the error means in plain language 2. Identify the most likely cause 3. Provide a fix with the corrected code 4. Explain why the fix works 5. Flag any related issues I should check
Generate comprehensive tests including edge cases you might have missed.
Write unit tests for this function. [PASTE YOUR FUNCTION] Language/framework: [Python + pytest / JavaScript + Jest / TypeScript + Vitest] Please write tests covering: 1. Happy path: expected input/output 2. Edge cases: empty, null, boundary, large inputs 3. Error cases: invalid types, out-of-range, expected exceptions 4. Side effects: mock external calls For each test: - A descriptive test name - Arrange / Act / Assert structure - Comment explaining what failure would mean
Understand unfamiliar code quickly.
Explain this code to me. [PASTE THE CODE] Language/framework: [describe if not obvious] What I'm trying to understand: [the whole thing / a specific part] My experience level: [beginner / intermediate / experienced in another language] Please explain: 1. What it does overall (plain English, 2-3 sentences) 2. What each major section or function does 3. Patterns, libraries, or techniques to understand 4. Potential issues to watch for 5. How I'd modify it to [specific change if you have one]
Get a refactored version with clear explanations of what changed and why.
Refactor this code for readability and maintainability. [PASTE CODE] Language: [describe] Context: [what this code does] Priorities (check all that apply): - [ ] Improve naming - [ ] Break up long functions - [ ] Remove duplication - [ ] Add comments - [ ] Improve error handling Constraints: must not change external behaviour. [Other constraints] Please: 1. Return the refactored code 2. List each change and why 3. Flag bigger architectural issues to address separately