Ideas and shifts that matter to people who design, build and run software—a concise pulse check for your craft.
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Anthropic has introduced a new feature called Routines for Claude Code, allowing developers to configure automated coding workflows that run on schedules, through API calls, or in response to external events. By Daniel Dominguez
Julie Qiu explains how AI serves as a "thinking partner" for engineering leaders. She discusses five distinct roles - Archaeologist, Experimenter, Critic, Author, and Reviewer - to manage the cognitive load of 400+ repositories. She shares…
Brandon Foley published a benchmarking study on the CNCF blog showing that AI coding agents can find and fix isolated bugs. However, they often struggle to understand system-wide impacts. This challenges the idea that improved code…
In this two for one episode recorded at HumanX, Ryan is first joined by Christine Yen, CEO of Honeycomb, to discuss how AI compresses the software development lifecycle, making observability about capturing the right telemetry. Then,…
Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG, multi-modal LLMs, and contributor-friendly agent APIs. He…
Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused Amazon ECS agent, which caused memory cgroup…
Anthropic published a postmortem tracing six weeks of Claude Code quality complaints to three overlapping product-layer changes: a reasoning effort downgrade, a caching bug that progressively erased the model's own thinking, and a system…
AI/ML and batch workloads introduce unique scheduling challenges that go beyond simple Pod-by-Pod scheduling. In Kubernetes v1.35, we introduced the first tranche of workload-aware scheduling improvements, featuring the foundational…
Introducing Docker AI Governance: centralized control over how agents execute, what they can reach on the network, which credentials they can use, and which MCP tools they can call, so every developer in your company can run AI agents…
Starting June 1, our lineup of individual plans will update based on your feedback. The post GitHub Copilot individual plans: Introducing flex allotments in Pro and Pro+, and a new Max plan appeared first on The GitHub Blog.
Learn how one Hubber used GitHub Copilot CLI to build an extension that turns any codebase into a unique, roguelike dungeon. The post Dungeons & Desktops: Building a procedurally generated roguelike with GitHub Copilot CLI appeared first…
Signature-based detection has always known what it was looking for. Machine learning and autonomous agents are changing the question entirely, shifting from "does this match a known pattern?" to "does this actually make sense in context?"
