Who should use the Autonomous Coding with Agents workflow?
Teams or solo builders working on development tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
3-step pipeline — follow each step in order
1Setup · Step 1 of 3
Open task pageGenerate Initial Code
Use an AI coding agent to generate boilerplate and core logic snippets from natural language prompts, accelerating the start of development.
Why this matters
This step establishes the foundational code structure quickly, saving hours of manual typing and reducing initial setup errors.
What you get
A solid codebase skeleton with key functions and classes generated, ready for refinement.
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2Input · Step 2 of 3
Open task pageRefactor and Optimize
Apply the agent to refactor generated code for better readability, performance, and maintainability according to best practices.
Why this matters
Refinement ensures the code is clean, efficient, and adheres to project standards, reducing technical debt early.
What you get
Optimized, well-structured code that is easier to maintain and extend.
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3Deliver · Step 3 of 3
Open task pageAdd Unit Tests
Automatically generate unit tests for the codebase to verify functionality and catch regressions during development.
Why this matters
Unit tests provide safety nets for refactoring and new features, ensuring code reliability and reducing bugs.
What you get
Comprehensive test suite covering critical paths, giving confidence in code correctness.
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