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Automate Dead Code Cleanup Gpt Prompt

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Tired of cluttered code slowing down your projects? Streamline your development process effortlessly with this prompt! Clear out redundant, unused code segments painlessly by harnessing the power of automation. Say goodbye to tangled codebases and hello to enhanced efficiency. Dive into a seamless cleanup journey that identifies and eliminates dead code, ensuring your project stays sleek and optimized. Try it out to experience smoother, more focused coding sessions.
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Over 1 month ago

Prompt Details

Model
Chat - GPT-4 (gpt-4)
Token size
236 ($0.00710 / call)
Example input
[tool/programming language/library] [specific functionalities/commands]
Example output
# Step 1: Install and import CodeCleaner # Example assuming a fictional tool named CodeCleaner # This tool hypothetically identifies dead code segments from codecleaner import CodeCleaner # Step 2: Instantiate CodeCleaner and analyze the codebase cleaner = CodeCleaner('path_to_your_project') # Step 3: Identify dead code segments dead_code_segments = cleaner.find_dead_code() # Step 4: Display identified dead code for review print("Identified Dead Code Segments:") print(dead_code_segments) # Step 5: Safely remove dead code segments cleaner.remove_dead_code(dead_code_segments) # Step 6: Verify that the removal hasn't introduced errors # Run tests and check the functionality of the program # Step 7: Integration into CI/CD pipeline # Automate this process by integrating it into your CI/CD workflow Please note that this is a fictional example and doesn't represent an actual tool or implementation. It's essential to use reliable, established tools and approaches for code cleanup and to thoroughly understand the impact of code changes on the functionality of your project.
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