How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

The Linux Foundation's CAMARA project is exposing telecommunications network capabilities to AI agents through the Model ...

The cost of allowing data's value to decay, even briefly, is real. Revenue opportunities are missed, marketing spend is wasted, and operational inefficiencies creep in. A single failure can damage ...

Discover hidden mobile app development costs most businesses miss. Budget for maintenance, hosting, security, and marketing beyond initial development with 2026 data.

Dropbox engineers have detailed how the company built the context engine behind Dropbox Dash, revealing a shift toward ...

Available now in beta, the integrations deliver a suite of AI-automated workflows that embed scalable code review directly into Azure DevOps. By grounding reviews in codebase context, past review ...

Updates to GitHub Copilot in VS Code provide the same C++ symbol context and CMake build configuration awareness as Microsoft’s C/C++ DevTools and CMake Tools extensions.

MongoDB, Digital Turbine and 8x8 navigate AI-driven SaaS fears as cloud demand and subscription growth fuel select opportunities.

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

New research from Microsoft and Omdia reveals how fragmented tools, manual workflows, and alert overload are pushing SOCs to a breaking point.

“Once contribution and reputation building can be automated, the attack surface moves from the code to the governance process around it. Projects that rely on informal trust and maintainer intuition ...