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AI Tool-Task Matching Matrix
A decision framework for selecting the optimal AI coding tool based on the specific characteristics and complexity of the coding task at hand.
Decision Rule
Match tool capabilities to task complexity: use Claude Code/Opus for very complex problems, Cursor plan mode for complex planning and bugs, either tool for simple tasks, and Claude specifically for UI work.
How It Works
Different AI models and interfaces have been optimized for different types of reasoning and code generation. By matching the tool's strength to the task's requirements, you maximize output quality and minimize iteration cycles.
Failure Modes
Using the wrong tool and requiring many more iterations
Not understanding each tool's specific strengths
Defaulting to one tool without considering alternatives
Overcomplicating simple tasks with advanced tools
Example Decision
“For architecting a new app feature (complex planning), choose Cursor plan mode with GPT-4. For debugging a specific UI animation issue (complex problem), choose Claude Code with Opus. For adding a simple button (simple task), either tool works fine.”