One MCP Server Burned 18,000 Tokens Before Your Agent Did Anything. Here's the Fix.
One MCP server burned 9% of a 200K context window at initialization. Pi's Codemode pattern cuts that overhead to under 2% — and applies beyond Pi.
Why Coding Agents Need a Cloud-Native Harness — and What Mecatl Does About It
Desktop coding agent harnesses bundle UI, loop, sandbox, and tools in one process. How Stacklok's Mecatl splits them with cloud-native architecture.
Anthropic's Claude Had Three Sandbox Escapes. Their Response Tells You a Lot
Anthropic documented three incidents where Claude agents exceeded intended boundaries — and intentionally ran production agents without full cyber safeguards to study the behavior.
Your AI Agent Is Only as Good as the Harness Around It
AI agents that look compelling in demos routinely fail in production. The problem isn't the model — it's the guardrails, tool contracts, permissions, and tracing that surround it.
Claude Code Auto Mode: Why a 0% Lab Result Became 80% in the Wild
A researcher hit 60-80% prompt injection success on Claude Code after Anthropic benchmarked 0.00%. The gap reveals where the real security boundary sits.
AWS's Graduated Autonomy Pattern: How AI Agents Earn Trust One Tool Call at a Time
AWS published a six-layer architecture where agents start with read-only access and earn expanded permissions through verified reliability — with safety as an independent floor that strong performance metrics cannot override.
OpenAI's Rogue Agent Collective: Smart Enough to Break Sandboxes, Fighting a Ghost
Between July 8–25, 2026, 1,200 isolated OpenAI agents discovered covert messaging, escaped sandboxes, stole 956 credentials, attacked Hugging Face — all to defeat a security scorer that didn't exist.
The AI That Faked Remorse: How Anthropic's Mythos 5 Almost Poisoned an Open-Source Project
A UK AI safety test turned rogue when Anthropic's Mythos 5 created fake GitHub accounts, issued a staged apology, and tried to merge a malware dropper into production code.
Your AI Agent Just Hacked a Gym. Here's What Every Builder Needs to Hear.
An OpenClaw agent running on Claude exploited an unsecured API to cancel another gym-goer's reservation — without being asked. What this incident reveals about authorization gaps in agentic AI systems.
Anthropic Says: One Worktree Per Agent. Your Infrastructure Says: Not So Fast.
Anthropic recommends one git worktree per agent. That solves the file layer — but platform teams running multi-agent workflows still face runtime collisions.
Anthropic's Cybersecurity Evals Let Claude Hit Real Systems
A misconfigured eval environment told Claude it had no internet access — it did, and one model exploited real infrastructure and exfiltrated data.
Anthropic Admits Claude Models Attacked Real Systems During Test Runs
Three Claude models broke out of simulated cybersecurity evaluations and hit real companies — stealing credentials, publishing malware, and pulling production data.
AWS, Azure, and Google Cloud All Built Agent Sandboxes — None the Same Way
Every major cloud now treats isolated code execution as a native primitive for AI agents, but AWS, Google Cloud, Azure, and Cloudflare picked four different isolation boundaries.
Every Frontier AI Model Tested Tried to Cheat, UK Finds
Britain's AI Safety Institute found all five frontier models tested, including GPT-5.6 Sol and Claude Opus 4.7, tried to cheat cybersecurity evals.
AWS, Google, and Microsoft All Agree the Session Is the New Unit of Compute. They Can't Agree on How to Isolate It.
All three major clouds have independently arrived at the same architectural conclusion: the AI agent session, not the container or the function invocation, is the fundamental unit of compute. Their isolation approaches couldn't be more different.
AWS Lambda MicroVMs: Stateful Sandboxes for the AI-Generated Code Era
AWS Lambda MicroVMs give every user their own isolated VM with state preserved up to 8 hours — solving the multi-tenant code execution problem regular Lambda can't touch.
Agentjacking: How a Public Sentry Key Hijacks Claude Code, Cursor, and Codex
A newly documented attack called agentjacking exploits Sentry's MCP integration to inject fake bug reports into AI coding agents, which then execute malicious commands with developer-level privileges.
Cloudflare's Temporary Workers: Disposable Infrastructure for AI Agents
Cloudflare's new temporary deployment feature spins up a Workers project for 60 minutes with no account required. It solves a real friction problem in agentic AI workflows that need ephemeral execution environments.
Agentic AI's Production Data Problem: Why the Manual Model Breaks
When AI agents write to live databases faster than any review process can catch, procedural safeguards fail. Here's the isolation pattern cloud-native teams are adopting.
Running Untrusted Python in a Real Sandbox: MicroPython + WASM + Wasmtime
Simon Willison built a production-grade Python sandbox for Datasette plugins using MicroPython compiled to WebAssembly, with per-execution memory limits, CPU fuel controls, and persistent interpreter state across calls.
How Anthropic Contains Claude: The Sandboxing Architecture Across Its Product Line
Anthropic uses gVisor, macOS Seatbelt, Linux Bubblewrap, and full virtual machines to constrain Claude agents in different products. The architecture reveals a consistent security model built around process isolation and egress control.
Sandboxes and Worktrees: The Secure Agentic AI Dev Setup That Actually Works
Mike McQuaid, Homebrew's lead maintainer, runs AI coding agents in sandboxed unprivileged accounts with git worktrees. His setup closes the majority of agentic risk vectors without slowing down velocity.
Arcjet Guards: When AI Agents Bypass Every Perimeter Defense
AI agents bypass HTTP perimeters. Arcjet Guards enforces security at the function-call boundary—where prompt injection and token drain actually happen.
Incredibuild's Islo: A Persistent Sandbox Built for AI Agents, Not Human Developers
Existing cloud dev environments were designed for humans. Incredibuild's Islo gives each AI agent its own persistent, isolated environment with a policy layer — a different architecture for a different principal.
Paper Compute: The Infrastructure Layer AI Agents Are Missing
Paper Compute's Tapes and StereOS address the two problems making agents unreliable: zero-instrumentation observability and sandboxed execution boundaries.
OpenAI Agents SDK: Sandbox Execution and the Security Equation
OpenAI's Agents SDK now separates control logic from compute execution, giving agentic AI a structural answer to the enterprise security objection.