Why did my EV charge outlet overheat and burn the wires?
The short (ahem) answer is they torqued their nut monkey tight, not gorilla tight.
Snowflake customers can now easily enrich their AI applications and agentic systems with some of the most trusted, highest-quality data available while respecting our community members who provide this content with proper attribution.
Positioned at the intersection of automation, decision intelligence, and data orchestration, AI agents are quickly emerging as essential tools for aligning business outcomes with technical workflows.
We’re always trying to make it easy for users to pick out the information they need and gain insights into their processes, so a natural language interface seemed like a dream.
Kyle is joined by his former colleague Tyler McEntee, now a senior software engineer at Jona, to talk about doing everything all at once at a startup.
As we envision what the ideal future version of Stack Overflow looks like, we’re committed to engaging with our community.
An update to the research that the User Experience team is running over the next quarter.
Money is pouring into the AI industry. Will software survive the disruption it causes?
If velocity is just a tool and not a goal, how do you measure real success for engineering teams?
This post explores crucial lessons learned in the trenches of data licensing, drawing insights from Stack Overflow and the growing importance of socially responsible data practices in a changing internet landscape.
The world has changed a lot since Stack Overflow started. It's time for our brand to change with it.
Community “management” at its core is supporting and enabling communities to manage themselves.
You might already be familiar with the programming language best suited to building on blockchains.
Avoiding bad data is just as important in AI; it can open you to fines, lawsuits, and lost customers.
Financial institutions face a balancing act between tech innovation and strict regulations. As customer expectations for improved user experience and demands from those tasked with enhancing features keep rising, engineering teams need to find a harmonious middle ground.
Self-supervised learning is a key advancement that revolutionized natural language processing and generative AI. Here’s how it works and two examples of how it is used to train language models.
An update on recent launches and the upcoming roadmap
The money men are betting on bossware overseas.
It took some clever code to implement computer vision on kBs of memory.
The reports of our productivity gains have been greatly exaggerated.
Spice and counter spice: this take says AI is automating all the boring stuff possible.
Now do the fake toll bill scams.
Before we scorch the sky, can we try pen and paper assignments first?
Developers are always being replaced...by people who know the tools and make more money.
Pretty soon they'll be able to solve CAPTCHAs too.
It may not be all sparkly, but the boring stuff gets things done.
Do...do these guys not understand friendship?
Way back in 2018, Stack Overflow's own Tom Limoncelli was advocating for greater automation in workflows.
How software gets built is changing as AI agents write more code.
Every week we’ll share a collection of great questions from our community, news and articles from our blog, and awesome links from around the web.
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