GitClear is a developer-friendly code review tool that aims to deliver higher developer satisfaction and faster releases. Check out their blog or find them on GitHub.
GitClear’s research focuses on how AI code-gen tools have impacted code quality (and not in a good way).
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Chapters
00:00 Introduction
00:30 Background of the Research
06:09 Business Model of GitClear
09:46 Copy Pasted Code
10:26 Churn Code
12:21 Code Readability
14:12 Code Suggestions and Auto-Completion
16:34 Drop in Moved Code
23:18 Larger Token Windows
26:31 Improving Gen AI
28:46 Conclusion
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After crypto’s reality check, an investor remains cautiously optimistic
Moving up a level of abstraction with serverless on MongoDB Atlas and AWS
What our engineers learned building Stack Overflow
Let’s talk large language models
Visible APIs get reused, not reinvented
Developers believe AI will soon be everywhere, but aren't sure how to feel about it
Quiet quitting and loud layoffs
From writing code to teaching code
“Move fast and break things” doesn’t apply to other people’s savings
The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie Garcia
The open-source game engine you’ve been waiting for: Godot
ML and AI consulting-as-a-service
Shorten the distance between production data and insight
Authorization on rails
The only thing worse than building internal tools is maintaining them
You don’t have to build a browser in JavaScript anymore
Does your professor pass the Turing test? (Ep. 537)
Engineering's hidden bottleneck: pull requests
The AI that writes music from text
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