Time to first output
30-90 minutes
Includes setup plus initial result generation
Execution Map
Step-by-step pipeline
Step 1 of 7Open task page
Preparation: AI Code Completion
Prepare inputs and settings through AI Code Completion before running code refactoring.
Why it matters
AI Code Completion sets up the foundation for code refactoring; clean inputs here reduce downstream rework.
The Result
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
⭐Top PickTop mapped tool
Supermaven →Selected from the highest-fit tool mappings and active usage signals for this step.
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Step 2 of 7Open task page
Input Setup: Code navigation
Use Code navigation to build supporting assets that improve code refactoring quality.
Why it matters
Code navigation strengthens code refactoring by feeding better supporting material into the pipeline.
The Result
Supporting assets from code navigation are prepared and connected to the main workflow.
⭐Top PickTop mapped tool
Windsurf Editor →Selected from the highest-fit tool mappings and active usage signals for this step.
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Step 3 of 7Open task page
Input Setup: AI Code Generation
Use AI Code Generation to build supporting assets that improve code refactoring quality.
Why it matters
AI Code Generation strengthens code refactoring by feeding better supporting material into the pipeline.
The Result
Supporting assets from ai code generation are prepared and connected to the main workflow.
⭐Top PickTop mapped tool
Windsurf →Selected from the highest-fit tool mappings and active usage signals for this step.
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Step 4 of 7Open task page
Core Execution: Code Refactoring
Execute code refactoring with Code Refactoring to produce the primary production code.
Why it matters
This is the core step where code refactoring actually happens, so it determines baseline quality for everything after it.
The Result
A first-pass production code is generated and ready for refinement in the next steps.
⭐Top PickTop mapped tool
Qodo CodeAI (formerly CodiumAI) →Best mapped choice for the core step based on task relevance and active usage signals.
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Compare top toolsStep 5 of 7Open task page
Quality and Optimization: AI Code Debugging
Refine and validate code refactoring output using AI Code Debugging before final delivery.
Why it matters
AI Code Debugging adds quality control so issues are caught before the workflow is finalized.
The Result
The production code is improved, validated, and prepared for final delivery.
⭐Top PickTop mapped tool
Windsurf →Selected from the highest-fit tool mappings and active usage signals for this step.
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Step 6 of 7Open task page
Quality and Optimization: Refactor code
Refine and validate code refactoring output using Refactor code before final delivery.
Why it matters
Refactor code adds quality control so issues are caught before the workflow is finalized.
The Result
The production code is improved, validated, and prepared for final delivery.
⭐Top PickTop mapped tool
Sourcegraph Cody →Selected from the highest-fit tool mappings and active usage signals for this step.
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Delivery: Automate code refactoring
Package and ship the output through Automate code refactoring so code refactoring reaches end users.
Why it matters
Automate code refactoring is what turns intermediate output into a usable, publishable result for real users.
The Result
A finalized production code is ready for publishing, handoff, or integration.
⭐Top PickTop mapped tool
Instructor →Selected from the highest-fit tool mappings and active usage signals for this step.
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