Author: JesterXL

Choice quotes from this Copilot research on GitHub:

• using Copilot is strongly correlated with mistake code being pushed to the repo
• current implementation of AI Assistants discourages code reuse
• we have entered an era where code lines are being added faster than ever before. The better question for 2024: who’s on the hook to clean up the mess afterward
• code generated during 2023 more resembles an itinerant contributor, prone to violate the DRY-ness of the repos visited

https://visualstudiomagazine.com/articles/2024/01/25/copilot-research.aspx

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CodeScene’s latest whitepaper, Refactoring vs Refuctoring, has some interesting findings, quotes, and improvements for AI / LLM assisted coding.

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You don’t negotiate with Product Owners on time on technical debt vs. time on features. You refactor all the time, while building the features. Product Owners not giving you time aren’t the ones at fault for the technical debt, you the coder are, for allowing the code to become a mess over time.

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Interesting points here about Scrum assumed you had good software engineering practices, the perhaps the guide should be updated to have that point.

Also neat to see the definitions of things be extremes and why they were originally called “Extreme Programming”.

An article I wished I had access to 12 years ago.

Quality Coding Manifesto