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
Supporting the world’s most-used database engine through 2050
Is GenAI the next dot-com bubble?
Why configuration is so complicated
If everyone is building AI, why aren't more projects in production?
How do you evaluate an LLM? Try an LLM.
Diverting more backdoor disasters
Climbing the GenAI decision tree
Want to be a great software engineer? Don’t be a jerk.
What a year building AI has taught Stack Overflow
Are long context windows the end of RAG?
Will antitrust suits benefit developers?
Controlling cloud costs: Where to start, and where to go from there
Data, data everywhere and not a stop to think
Why the creator of Node.js® created a new JavaScript runtime
Your whole repo fits in the context window
How Stack Overflow is partnering with Google to encourage socially responsible AI
A leading ML educator on what you need to know about LLMs
Building GenAI features in practice with Intuit Mailchimp
Chunking express: An expert breaks down how to build your RAG system
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