AWS argues that AI-generated code doesn't always boost productivity, highlighting challenges in testing, debugging, deployment, and long-term application maintenance.

Eight innovative tools that are reimagining web applications and how we build them. Welcome to the Great Unbloating.

AI-Assisted Development Is Reshaping Software Ownership, Confidentiality and Litigation Risk - Artificial intelligence (AI) is ...

The new cloud-based, open-source alternative to Microsoft 365 and Google Workspace is here, as LibreOffice backers lambast ...

Use these official MCP servers to interact with the leading database platforms via natural language through your LLM-assisted ...

AWS has challenged the assumption that AI-generated code always improves productivity, arguing that software teams often face ...

Vibe coding is going mainstream and Microsoft is in a unique position to capitalize with Copilot integrating itself across ...

The next software race will reward companies that learn to manage machines instead of merely buying them. Anthropic’s agentic ...

​AI’s impact on professional services is uneven, but the direction is consistent. Fields with structured, repeatable tasks, ...

ChatGPT crossed 900 million weekly active users in early 2026, making it the most used AI chatbot on the planet. In just ...

Wednesday is the hands-on day at WWDC 2026. Group Labs for Xcode 27, Foundation Models, Core AI, App Intents, and the parental-control API stack are running today, June 10, at Apple Park — the last ...