Our recent Pulse Survey showed how technologists visiting Stack Overflow feel about emergent technologies. The consensus is clear: AI assistants will soon be everywhere, and developers aren’t sure how they feel about that. Check out the podcast here or dive into the blog.
Learn more about the emergent abilities of large language models (LLMs).
For more on the intersection of AI and academia, listen to our episode with computer science professor Emery Berger or read his essay on how academics are coping with AI that can ace exams and do everyone’s homework.
Catch up on the adventures of the worst coder in the world.
Congrats to user d1337, whose question How to assign a name to the size() column? won a Stellar Question badge.
Can software startups that need $$$ avoid venture captial?
An open-source development paradigm
Would you board a plane safety-tested by GenAI?
How to train your dream machine
OverflowAI and the holy grail of search
Spreading the gospel of Python
Between hyper-focus and burnout: Developing with ADHD
Reshaping the future of API platforms
The reverse mullett model of software engineering
Net neutrality is in; TikTok and noncompetes are out
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?
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