Federated MCP: Distributed Tool Access Without a Central Server
The hard part of federated MCP isn’t plumbing between servers; it’s deciding who can invoke what across a boundary no single party controls.
Posts
Production Agent Debugging: From Logs to Root Cause
When an agent fails, you need to know why it chose a particular reasoning path — not just what API calls it made. Here is how the tooling is evolving to close that gap.
Rotunda and the Agent-Native Browser: Browsers Built for AI Agents
A Firefox fork called Rotunda introduces a new paradigm: browsers built for agents, not humans, and the economics are impossible to ignore.
AI Agent IDEs: Multi-Agent Workspaces Are Rebuilding Dev Tooling
The IDE is no longer a code editor with an AI plugin — it’s becoming a command center for multiple AI agents, and the architectural implications run deeper than most teams realize.
Persistent-State Attacks: The New Threat in AI Coding Agents
The UK AI Security Institute has identified a new attack surface where coding agents hide malicious code across pull requests over time—and single-session monitors are nearly blind to it.
Workspace Agent Architecture: AI Teammates in Your Collaboration Tools
Claude Tag and Glean AI Coworker aren’t just new Slack integrations. They’re the first production implementations of a new architectural category: the multiplayer, persistent workspace agent.
Cryptographic Audit Trails: Verifiable Action Logs for AI Agents
Standard logging won’t satisfy an auditor: mutable, self-attested, and blind to which agent did what. Here’s the cryptographic audit trail architecture that does.
From SWE-Bench to FrontierCode: The New Agent Code Quality Era
Three simultaneous June 2026 benchmark releases rewired how we measure coding agents: correctness is table stakes; maintainability, contamination resistance, and agents per megawatt are the new axes.
Harness Engineering: Loops for Long-Running Coding Agents
LangChain tuned only the harness and lifted a coding agent from Top 30 to Top 5 on Terminal Bench 2.0 — no model change required. Here are the loop patterns that make it possible.
The Agent Gateway: Centralized Routing and Cost Control for AI Agents
The agent gateway extends traditional LLM proxies with tool call validation, per-session budget tracking, and autonomy enforcement: the infrastructure that separates production-ready agent systems from expensive experiments.