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AI Agents

Agent Queueing and Backpressure: When to Say No

An unbounded queue in front of an agent fleet hides overload until every task is stale. Queue design, backpressure signals and shedding work on purpose.

· 9 min read
AI Agents

Agent Regression Suites: Catching Breaks Before Users Do

A prompt edit can silently break a workflow that worked yesterday. Here is how to build a regression suite for an agent that actually blocks merges.

· 9 min read
AI Agents

Agent Resumption Patterns: Restarting Without Starting Over

Picking up a stopped agent run safely: why it stopped changes how you resume, and why the world may have moved while the agent was not looking.

· 8 min read
AI Agents

Agent Self-Correction: When Reflection Helps and When It Does Not

Asking a model to check its own work sometimes fixes real errors and sometimes invents new ones. What separates the two, and how to build for it.

· 9 min read
AI Agents

Agent Shell Access Safety: Giving a Model a Terminal

A shell tool is the most useful and most dangerous thing you can give an agent. How to grant it without handing over the whole machine.

· 9 min read
AI Agents

Agent State Machines: Constraining the Loop That Wanders

Giving an agent explicit states and legal transitions cuts wandering and makes failures debuggable. What it buys, what it costs, and when it is overkill.

· 8 min read
AI Agents

Agent Task Decomposition: How Small Is Small Enough?

Breaking work into subtasks is the standard fix for agents that flail. Here is how to size the pieces so decomposition helps instead of adding overhead.

· 9 min read
AI Agents

Agent Test Harnesses: Testing a System That Is Not Deterministic

Agents fail intermittently, so a single passing run proves nothing. How to build a harness that measures rates rather than checking assertions.

· 9 min read
AI Agents

Agent Timeout Strategies: Bounding a Loop That Cannot Stop

An agent has no instinct for when it has taken too long. The four limits worth setting, where to put them, and how to fail without losing the work.

· 9 min read
AI Agents

Agent Token Budgets: Capping Spend Without Capping Capability

An unbounded agent can spend arbitrarily much on one task. How to set budgets that stop runaway sessions without killing legitimate long ones.

· 8 min read
AI Agents

Agent-to-Agent Protocols: What They Solve and What They Do Not

Protocols for agents talking to other agents are arriving. Here is the problem they address, how they differ from MCP, and when you genuinely need one.

· 9 min read
AI Agents

Approval Gates in Agents: Where to Put the Human

Asking a human to approve everything trains them to approve nothing. How to place gates so the few that remain still get read carefully.

· 9 min read

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