A threat actor targeting Microsoft 365 and Azure production environments is stealing data in attacks that abuse legitimate applications and administration features. Microsoft tracks the actor as Storm ...

Bottom line: Google said on Wednesday that about 75% of its new code is now generated by AI and then reviewed by engineers, a figure that marks a sharp increase from recent levels. In October 2024, ...

Microsoft is shipping GitHub Copilot as a built-in VS Code extension starting with version 1.116, eliminating the manual install step that separated new users from AI coding assistance. Published on ...

The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships. A survey of 200 senior site-reliability and DevOps ...

Torvalds and the Linux maintainers are taking a pragmatic approach to using AI in the kernel. AI or no AI, it's people, not LLMs, who are responsible for Linux's code. If you try to mess around with ...

Add Decrypt as your preferred source to see more of our stories on Google. Anthropic accidentally exposed 512,000 lines of Claude Code via a source map leak. DMCA takedowns failed as mirrors and clean ...

VS Code 1.112 shipped March 18 with expanded Copilot agent autonomy controls. A new Autopilot permission level lets Copilot CLI run tasks without user approval dialogs. MCP server sandboxing restricts ...

When it comes to coding, peer feedback is crucial for catching bugs early, maintaining consistency across a codebase, and improving overall software quality. The rise of “vibe coding” — using AI tools ...

Cybersecurity researchers have disclosed multiple security vulnerabilities in Anthropic's Claude Code, an artificial intelligence (AI)-powered coding assistant, that could result in remote code ...

Threat actors are targeting technology, manufacturing, and financial organizations in campaigns that combine device code phishing and voice phishing (vishing) to abuse the OAuth 2.0 Device ...

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Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based ...