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2286. What are git worktrees, and why should I use them? (github.blog)

Git worktrees have been around since 2015, but it wasn't until recently they became popular. Learn what they are, how to use them, and why you might. The post What are git worktrees, and why should I use them? appeared first on The GitHub Blog.

2289. Zero to Global: Scaling AI-Native Startups with Twilio ()

In the hyper-charged AI landscape of 2026, the real make-or-break challenge isn't the brain of your AI—it's the infrastructure. In this must-read deep dive, Twilio Developer Evangelist breaks down the electric pulse of the APAC tech boom and exposes the hidden "Growth Tax" that brings unprepared sta...

2294. Docker Content Trust: Retirement and Migration Guidance (www.docker.com)

TLDR: Docker Content Trust (DCT) and the Notary v1 service at notary.docker.io are being fully retired (first announced in July of 2025). This blog explains what is changing, who is affected, and how to move to modern alternatives.  Ten years ago, Docker Content Trust (DCT) gave the container ecosys...

2299. HPE AI Factory With NVIDIA Expands for the Era of Agents (blogs.nvidia.com)

Enterprises are moving agentic AI from proof of concept to production — and the next generation of AI factories are built for the era of agents. At HPE Discover Las Vegas, running through Thursday, June 18, NVIDIA and HPE are expanding the HPE AI Factory with NVIDIA, including NVIDIA Vera CPU and NV...

2301. Fastest, Largest, Strongest: NVIDIA Blackwell Sweeps MLPerf Training 6.0 (blogs.nvidia.com)

Every breakthrough AI model starts the same way: with a training run. The infrastructure running those training jobs shapes everything: how fast teams can iterate, what scale of model they can build and whether those jobs complete reliably.  As models grow in size, complexity and intelligence, the d...

2309. Building Python Skills for the Job Market (realpython.com)

When you’re learning Python, the sheer volume of topics to explore can feel overwhelming because there’s so much you could focus on. Should you dive into web frameworks before exploring data science? Is test-driven development something you need right away? And which skills actually matter to employ...
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