From Containers to Sandboxes: Developer Trust in the Agentic Era
The 2026 Stack Overflow Developer Survey shows only 7% of developers trust AI output for important decisions. Here’s what that means for running agents safely.

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The 2026 Stack Overflow Developer Survey shows only 7% of developers trust AI output for important decisions. Here’s what that means for running agents safely.

AI, agents, voice, and physical controls are shifting software development from operating tools to expressing intent.

Next.js 16.2 ships AGENTS.md in create-next-app, browser log forwarding, dev server lock file with PID, and next-browser for AI agent debugging.

Actionable errors with paste-ready fix prompts, first-party Skills for the dev loop and Cache Components, and tooling that keeps coding agents in sync with your project.

Learn the top AI agent security risks, from prompt injection to excessive autonomy and credential exposure, and how to contain them.

Next.js 16.3 introduces Instant Navigations, a suite of tools for single-page-app responsiveness, plus a faster dev server, faster builds, and improved tooling for AI agents.

Learn how Amazon CloudWatch Omni delivers AI-powered observability purpose-built for generative AI and agentic workloads. Trace, evaluate, and experiment with AI agents across any framework—directly from your IDE or a standalone web experience—using open standards and built-in evaluators for quality, correctness, and coherence.

Amazon CloudWatch Omni is the next evolution of CloudWatch — unified observability that brings your applications and AI agents into one reimagined experience, with auto-discovered topology, natural language queries, and AI-guided investigation powered by AWS DevOps Agent.

Meet the partners and customers bringing practical AI, security, and development sessions to the Docker Pavilion at WeAreDevelopers. The post explains why a strong ecosystem matters to developers, announces the sessions and speakers, and invites attendees to connect with the teams building and using these technologies.

With the release of Kubernetes v1.37, the Pod-Level Resource Managers feature has graduated to Beta status (disabled by default)! First introduced as an Alpha feature in Kubernetes v1.36, this enhancement builds on Pod-Level Resources by equipping Kubelet's Topology Manager, CPU Manager, and Memory Manager to use Pod-level resource declarations (.spec.resources) directly when making hardware placement decisions. Bringing pod-level resources to node managersBefore this feature, obtaining exclusive NUMA-aligned CPU cores or memory for latency-critical applications forced cluster operators into an all-or-nothing choice: assign integer resource requests to every container in the Pod, or forfeit exclusive NUMA alignment entirely. For modern workloads running lightweight sidecars (such as logging agents or telemetry exporters), allocating dedicated physical cores to auxiliary containers was wasteful.
Some numbers are hard to picture until you sit with them for a moment. Last week we published the Prime Day 2026 metrics, and the one that stuck with me is 2.3 quadrillion: the daily requests Amazon ElastiCache peaked at during the event. Prime Day ran back in June, so this post always lands as […]

Run agents on your laptop, in the cloud, and move between them with one command, all safely. Earlier this year we launched Docker Sandboxes: microVM environments where coding agents can work autonomously in a safe way.
