Platforms, pipelines and the tooling layer. How engineering teams actually ship software.
Strands Harness bundles agent tools, context and memory into a preconfigured foundation that AWS says cuts costs 45% versus Claude Code, though DeepSeek's offering undercuts it further.
Microsoft is retiring its Calendar, People, and Files companion apps for Windows 11 enterprise devices, ending support on December 16, 2026. The company is asking administrators to remove the applications from managed devices before the deadline.
A defect in this month's Office patches broke fundamental Excel operations across multiple versions. Microsoft has released fixes and documented a workaround for cases involving conditional formatting.
Nvidia VP Adel el Hallak explains why agent failures demand visibility into decision-making across the entire stack, and backs SAFE, an industry effort to share failure findings across 140 companies.
Lauren Tan's workflow for agentic code generation relies on a verification layer that lets AI agents test their own changes against real dependencies in isolated environments. For distributed systems, this requires a fundamentally different approach to runtime provisioning.
As inference costs continue to decline, the software layer surrounding AI models—the harness that turns raw capability into usable products—has become the decisive factor in delivering value to users.
A Chinese bank slashed token-processing expenses by 60% using Kubernetes for AI workloads, yet industry experts warn the platform's resource model may not capture the true economics of large-scale inference.
The GitHub Podcast examines five popular claims about AI in software development, separating useful insights from oversimplifications and showing how real work differs from the debate.
