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How to achieve integration of code generation and testing in rapid prototyping?

2025-08-21 336

Integrated solutions for accelerated prototyping

To address the pain point of switching environments in prototyping, Claude Code UI enables closed-loop workflows with the following features:

  • AI code generation + on-the-fly execution: By typing commands such as "Generate Python data analysis script" into the chat window, Claude returns code that can be inserted directly into the editor and tested immediately via the built-in terminal.
  • Terminal and editor linkage: Select the code snippet in the file, right-click and select "Run in Terminal", the result is displayed in real time in the panel below.
  • Version Snapshot feature: Each important modification node can create a session snapshot, making it easy to go back to different versions of the prototype.

Optimize the work steps of prototyping:

  1. Describe the prototype requirements to Claude using natural language to get the initial codeframe
  2. Quickly create multiple variant files (e.g. test_v1.py/test_v2.py) by creating a new test directory via the file tree
  3. Create feature branches with Git functionality to isolate experimental code
  4. Final evaluation of the strengths and weaknesses of the different prototypes through the session comparison feature

Advanced Tips:

  • Pre-configure frequently used code templates, which can be quickly called by "@template".
  • Set automation test hooks to automatically run base test cases when code is saved
  • Utilize the "Export Session" feature to package and share successful prototypes with other members

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