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.
1 min readNews
Results for “AI Agent”
12 stories found.
Building Next.js for an agentic future
How we built and sunset an in-browser agent, shipped MCP integration, and learned that better AI agent support means thinking from the agent's perspective.
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Next.js 16.2: AI Improvements
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.
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AI Agent Security Risks: What Can Go Wrong When Agents Act on Their Own
Learn the top AI agent security risks, from prompt injection to excessive autonomy and credential exposure, and how to contain them.
1 min readNews
Next.js 16.3
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.
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Introducing Amazon CloudWatch Omni: AI-powered observability for generative AI and agentic workloads
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.
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Now on Amazon CloudWatch Omni: collaborative AI-powered observability for your applications
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.
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Building Reproducible AI Evaluation Workflows with Docker Sandboxes
Learn how Docker Sandboxes can make AI evaluation workflows more reproducible with consistent execution, structured artifacts, and runtime evidence.
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YOLO Mode: Agent Autonomy Without the Guardrails
YOLO mode lets an AI agent run without asking permission. Learn what it is, why it's risky, and how to run it safely.
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From Dockerfile to Kit: the Docker Sandboxes Kit Specification
Docker's Sandbox Kit Specification v3 packages an AI agent's network rules, credentials, and volumes as an ordinary, pinnable OCI image.
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Docker and CNCF partner on an open spec for agent permissions
Docker is bringing the open source Sandbox Kit Spec to the CNCF, so AI agent permissions become a neutral, vendor independent standard built on OCI.
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Manufacturing Trust for AI Agents | Docker’s WeAreDevelopers Keynote
Docker's WeAreDevelopers keynote shows how Sandboxes, Kits, and Cloud Sandboxes give AI agents strong isolation and reproducible authority.
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