Working notes from the frontier of agent deployment.
Need an agent that still works after launch?
We build production AI agents with the evals, routing, tools, review loops, and runbooks that keep them useful in the real world.
Your Tools Are Blowing the Context Window: Budgeting Tool Output Before It Reaches the Model
Raw API responses eat agent context faster than reasoning does. How to set per-tool output budgets with pagination, summarization, and reference handles.
If the Model Hub Changes Hands: Mapping Your Hugging Face Dependency Before an Acquisition Does It for You
Reported acquisition interest in Hugging Face makes model registry dependency risk concrete. How to map, pin, and mirror your AI supply chain now.
Read more ->Where Agent Code Actually Runs: Choosing a Sandbox for AI Agent Code Execution
Container, gVisor, or Firecracker microVM? How to pick agent code execution sandbox isolation by blast radius - filesystem, egress, and credential reach.
Read more ->Agent Instruction Files Are Source Code: Versioning AGENTS.md and CLAUDE.md Like Config
AGENTS.md and CLAUDE.md are production config with no failing tests. How to add ownership, review, drift checks, and regression tasks before they rot.
Read more ->News
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