Skip to content
Veracy Advisory Platform

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

  1. Step 1 — Write code

    Cursor

    AI-native IDE with inline code generation

  2. Step 2 — Review & suggest

    GitHub Copilot

    AI pair programmer for code suggestions and completion

  3. Step 3 — Debug issues

    Claude

    Explain errors and suggest fixes

  4. Step 4 — Write tests

    Cursor

    Generate unit and integration tests for functions

Best tools to write, review & debug code

1
Cursor Listed

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.

$ Small business Mid-market
2

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.

$ Small business Mid-market Enterprise
3
Claude Listed

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.

$ Small business Mid-market Enterprise

Browse all tools for this workflow: Code Generation , Testing & QA

Prompts to get started

Related workflows