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 ...

Cursor AI Coding is reshaping how developers build software by combining a GPT-powered IDE with intelligent automation. Instead of switching between tools, developers can rely on a single AI coding ...

Anthropic accidentally leaked some source code for Claude Code, its AI-powered coding assistant. The company said the leak did not include sensitive customer data or credentials. Anthropic recently ...

Anthropic says it accidentally leaked the source code for Claude Code, which is closed source, but the company says no customer data or credentials were exposed. While Anthropic pledges support to the ...

VentureBeat made with Google Gemini 3.1 Pro Image Anthropic appears to have accidentally revealed the inner workings of one of its most popular and lucrative AI products, the agentic AI harness Claude ...

R, a powerful statistical programming language, offers the ability to compile code for performance gains. However, this often comes with a trade-off: debugging compiled code can be challenging. Enter ...

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 ...

Microsoft has released Visual Studio Code 1.112, shortly after announcing a faster release cadence for the popular editor. Despite the quicker update cycle, this release introduces several notable ...

New z/XDC software expansion improves accessibility and integrates into existing workflows while welcoming a new generation of programmers into mainframing Izzi Software, owner of ColeSoft, the ...

Abstract: Large language models (LLMs) have shown promising code generation capabilities; however, they still face challenges in generating successful code for non-trivial programming tasks. To ...