First, when you open the Amazon Q panel in VS Code, you might notice that you can only sign in using your Builder ID, and after signing in, the extension shows a free tier instead of recognizing your ...
What just happened? Elon Musk's xAI has introduced an agentic coding model aimed at delivering speed and cost efficiency for software development tasks. Called Grok Code Fast 1, the model is built on ...
Anthropic on Wednesday announced a new subscription offering that will incorporate Claude Code into Claude for Enterprise. Previously available only through individual accounts, Anthropic’s ...
Amazon Web Services CEO Matt Garman warned business leaders against replacing junior employees with AI, calling it “one of the dumbest things" he's ever heard. On the “Matthew Berman” podcast Tuesday, ...
GitHub CEO Thomas Dohmke has resigned, and GitHub is moving even closer into Microsoft’s CoreAI team. GitHub CEO Thomas Dohmke has resigned, and GitHub is moving even closer into Microsoft’s CoreAI ...
GitHub Copilot Pro now supports GPT-5 in VS Code. A 30-day trial lets you test premium models for free. Add your OpenAI key to bypass Copilot restriction. First, open VS Code. Click the little Copilot ...
What if building a fully functional app was as simple as describing it in plain language? With the launch of GitHub Spark, that vision is now a reality. This new AI-powered platform is set to redefine ...
A hacker managed to insert destructive system commands into Amazon’s Visual Studio Code extension used for accessing its AI-powered coding assistant, Q, which was later distributed to users through an ...
Amazon Web Services (AWS) last week announced an agentic AI IDE called Kiro, adding to a growing camp of AI coding assistants based on Microsoft's ubiquitous open-source based Visual Studio Code ...
What if you could spend less time sifting through pull requests and debugging errors, and more time crafting innovative solutions? For developers, the repetitive grind of code reviews and issue ...
I would expect this code to create a pipeline with one training step and run it the first time using the hyperparameter hparam1 and the second time using the hyperparameter hparam2 ...
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