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).
Find Bill on LinkedIn.
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
How the creator of Angular is dehydrating the web
For those who just don't Git it
Building zero tier systems on bare metal
Great code isn’t enough. Developers need to brag about it
Stung by OWASP? Chatting with the creator of the most popular web app scanner
A conversation with the folks building Google's AI models
Read the docs? We prefer to chat with them
Building golden paths for developers
When AI meets IP: Can artists sue AI imitators?
How a top-ranked engineering school reimagined CS curriculum
Is this the AI renaissance?
When setting up monitoring, less data is better
Ops teams are pets, not cattle (ep. 556)
We bought a university: how one coding school doubled down on brick and mortar
The philosopher who believes in Web Assembly
Going stateless with authorization-as-a-service
Building an API is half the battle
From cryptography to consensus: Q&A with CTO David Schwartz on building blockchain apps
From Smalltalk to smart contracts, reflecting on 50 years of programming
How to keep the servers running when your Mastodon goes viral
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