The new cryptographic standard helps make Internet routing safer by verifying the path data takes across networks to reach ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Alicia Collymore discusses the critical role of cultural alignment in building high-performing engineering teams. She explains how to move beyond "vibes" by identifying specific attributes in company ...

Webpack's 2026 roadmap, led by Even Stensberg, unveils substantial enhancements aimed at modernizing the bundler. Key ...

Have you ever tried mixing oil and water? That is the moment software architecture is entering as deterministic systems meet non deterministic AI behaviour. Architects must anchor intelligent systems ...

Microsoft has released version 1.0 of the official MCP C# SDK, bringing full support for the 2025-11-25 MCP Specification. The release introduces enhanced authorization flows, icon support for tools ...

Engineers at Netflix have uncovered deep performance bottlenecks in container scaling that trace not to Kubernetes or containerd alone, but into the CPU architecture and Linux kernel itself.

Anthropic’s Claude Opus 4.6 introduces "Adaptive Thinking" and a "Compaction API" to solve context rot in long-running agents. The model supports a 1M token context window with 76% multi-needle ...

Cloudflare released vinext, an experimental Next.js reimplementation built on Vite by one engineer, with AI guidance over one ...

Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to agent-based AI development.

Teams can run regular retrospectives that focus on 1–2 concrete weekly actions to avoid complaint circles, Natan Žabkar Nordberg mentioned at QCon London. You can rotate facilitators to build ...

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...