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AI-Powered Dev Workflow
The ultimate developer productivity stack. AI code completion, intelligent editing, automated testing, and seamless deployment — write better code in half the time.
Pipeline Overview
Why This Stack Works
This stack layers four AI tools that each excel at a different part of the development process. GitHub Copilot handles real-time code completion as you type, Cursor provides an AI-native IDE experience for larger refactors and codebase understanding, ChatGPT serves as your on-demand programming tutor and debugger, and Claude handles complex architectural reasoning and long-context code review. Together, they cover everything from writing a single line of code to designing entire system architectures.
Why Each Tool Was Selected
GitHub Copilot
Real-Time Code CompletionWhy GitHub Copilot?
Copilot is the fastest AI code assistant for line-by-line suggestions. Trained on billions of lines of code, it predicts what you want to write next with remarkable accuracy. It works directly in your editor (VS Code, JetBrains, Neovim) with zero friction — just keep typing and accept suggestions with Tab.
Code written with Copilot's assistance is refined and reviewed in Cursor for larger structural changes.
Cursor
AI-Native IDE & RefactoringWhy Cursor?
Cursor goes beyond code completion — it understands your entire codebase. You can select a block of code and ask it to refactor, explain, or optimize. Its 'Composer' feature can make changes across multiple files simultaneously, which is invaluable for large refactors that Copilot can't handle alone.
Refactored code and new features are validated by discussing architecture and edge cases with ChatGPT or Claude.
ChatGPT
Debugging & Problem SolvingWhy ChatGPT?
ChatGPT excels as an interactive debugging partner. Paste an error message, describe unexpected behavior, or ask 'why does this code do X instead of Y?' and get detailed explanations with fixes. Its conversational format makes it ideal for iterative problem-solving where you need to go back and forth.
Solutions and patterns discovered in ChatGPT are applied in your Cursor/Copilot workflow. Complex problems are escalated to Claude.
Claude
Architecture & Code ReviewWhy Claude?
Claude has the largest context window (200K tokens), meaning it can analyze your entire codebase at once. This makes it unmatched for architectural decisions, security audits, and comprehensive code reviews. When you need to understand how a change will ripple across your entire project, Claude is the tool to use.
Architectural recommendations and code review feedback are implemented back in Cursor and Copilot.
How to Use This Stack (Step-by-Step)
Step 1: Open your project in Cursor (AI-native IDE). Use its codebase understanding to plan your feature — ask it to explain existing code and suggest where to make changes.
Step 2: Start coding with GitHub Copilot active. It will auto-complete functions, suggest boilerplate, and write repetitive code patterns as you type.
Step 3: When you hit a bug or unexpected behavior, paste the error into ChatGPT. Describe the context and iterate on solutions in the conversation.
Step 4: Before merging, paste your changes into Claude for a thorough code review. Its large context window lets it analyze the full diff against your codebase and catch issues others miss.
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