Microsoft has embedded GitHub Copilot as a default VS Code extension in version 1.116, adding agent debug logging, terminal ...

Amber Vanderburg discusses how engineering leaders can spot and fix the “silent bugs” in team dynamics before they turn into bigger delivery problems.

Survey data shows 43% of AI-generated code fails in production, forcing developers to spend more time debugging and deepening ...

GitHub is introducing a new experimental feature in GitHub Copilot CLI called Rubber Duck, designed to rethink how AI-assisted coding works. The feature builds on the classic rubber duck debugging ...

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 ...

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 ...

The rise of vibe coding tools is changing how developers build software, turning ideas into working applications faster than ever. Instead of writing every line manually, developers can now describe ...

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 ...

An engineer says "help me debug why my STM32 is crashing in the SPI interrupt handler" and Claude creates a debug session, reads fault registers, decodes them via SVD bitfields, traces the stack, ...

AI is proving better than expected at finding old, obscure bugs. Unfortunately, AI is also good at finding bugs for hackers to exploit. In short, AI still isn't ready to replace programmers or ...

Anthropic, OpenAI, and Google tools can automate code debugging. But cybersecurity is too complex a problem for these tools to solve. AI's biggest contribution may be to reduce avoidable software ...