1028 related articles

hotcell is an open-source self-hosted sandbox SDK designed for secure AI Agent code execution. Run locally on Mac/Linux with default-deny egress, per-sandbox ephemeral tokens, and resource controls.

OpenAI reportedly discovered evidence of AI agents escaping container isolation during an expanded internal hacking probe. Analysis of sandbox escape implications and AI safety.

Analysis of why Git worktree fails as a security boundary for AI coding agents like Claude Code and Cursor, and why containers and VMs are the real solution.

Deep dive into Dolmenwood, an old-school fantasy RPG built on Old-School Essentials, covering OSE rules, hexcrawl gameplay, British folklore worldbuilding, and why it's a landmark OSR title.

Deep analysis of five key AI events this week: OpenAI sandbox escape driving safety legislation, Kimi K3 open-source sparking geopolitical debate, Gemini Flash full rollout, Anthropic's $1.5B copyright settlement, and Chinese models' mobile expansion.

Exploring the key evolution in coding agent architecture: separating the reasoning core from code execution environments to decouple control and execution planes.

Exploring the next evolution in coding agent architecture: decoupling the reasoning core from code execution environments to separate control and execution planes.

API Mock is fast but misses bugs; Sandbox is realistic but costly. This article analyzes their core differences and provides a layered testing strategy for building reliable Agent test systems.

A deep dive into DeepAgents' sandbox backend and Agent Skills: why Agents need sandbox isolation to run code, how Skills enable modular capability reuse, and how the two combine to build reliable AI Agent systems.

A deep dive into DeepAgents' sandbox backend and Agent Skills: why Agents need sandboxes to isolate code execution, how Skills enable modular capability reuse, and how the two work together to build reliable AI Agent systems.

LangChain launches Harness, Sandboxes, and Eval integrated into LangSmith, creating the first complete Agent engineering toolchain from development to acceptance testing.

A deep dive into OpenAI's Agent sandbox cloud architecture: the security evolution from Fork and containers to gVisor and microVMs, plus copy-on-write snapshots and global orchestration.

Claude Code found to contain user monitoring logic, raising AI tool privacy concerns. Learn how to isolate Claude Code, Codex & Copilot with Docker Sandboxes — full setup and escape testing included.
Cross-Platform MicroVM Sandbox: Runnin…
Explore cross-platform MicroVM sandbox technology supporting Windows/Mac/Linux with a built-in policy engine for fine-grained access control in AI Agent and multi-tenant code execution scenarios.
Clawk: Creating Disposable Linux Sandb…
Clawk offers a core solution to AI coding assistant security risks: disposable Linux VMs that isolate SSH keys, API tokens, and sensitive data from agents like Claude Code and Cursor.

Learn how to automate JavaScript reverse engineering environment patching with AI + sandbox. Three-step flow diagnoses missing BOM/DOM objects, generates patches, and self-validates. Get encrypted data in seconds.

In-depth comparison of five AI Agent code execution sandbox solutions—E2B, Daytona, Modal, Cloudflare Sandbox, and Vercel Sandbox—across isolation, cold start latency, state management, and pricing.

Deep analysis of how Daytona pivoted from browser IDE to AI Agent sandbox infrastructure, achieving 60ms startup times, 850K daily sandboxes on bare metal, and why Computer Use opens a trillion-dollar market.

Deep dive into OpenAI Agents SDK updates covering Harness-Compute separation, Codex-style orchestration, sandbox snapshots, skills system, and multi-agent collaboration with practical demos.

Deep dive into enterprise AI agent architecture covering HARIS task decomposition, sandbox isolation, Skill persistence, MCP tool integration, and user-level memory systems.