#deployment
Every post tagged "deployment".
39 posts · showing 1–10
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Your Inbox Agent Wakes Every 15 Minutes to Find Nothing. Cron or Event Trigger? Decide by What a Wasted Run Costs.
The trigger is the least-discussed design choice in a personal agent, and it quietly decides your bill, your duplicate rate and how stale its answers are. A simple test for choosing between a schedule and an event, and why the best setup usually uses both.
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Your Coding Agent Hit Its Cost Cap Mid-Refactor and Left Nothing Behind. Reserve the Last Fifth of the Budget for the Handoff.
A hard spend cap protects your bill, but when it trips mid-task it throws away everything the agent learned. Split the budget into phases so the run always ends with a usable handoff instead of a dead process.
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Before You Adopt an Agent Framework, Try to Break Its Loop: Four Escape Hatches You'll Need by Week Three
Time-to-demo is the one framework criterion that stops mattering the moment you ship. Four seams to test in an afternoon — and the production incident each one predicts.
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Your Agent Works in the Demo Because You're Watching: Six Failures That Only Appear at 3 A.M.
A live demo isn't a smaller version of production — it's a different environment with a human silently patching over every gap. Here are the six failure classes that only wake up once that human goes to bed.
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A 5% Canary Mostly Samples Your Easy Tasks. Roll Agent Upgrades Out by Task Class.
Random traffic slices sample volume, but an agent's risk lives in the thin tail of long, tool-heavy, irreversible tasks. Here's how to build a rollout ladder that samples the danger instead.
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One 300-Second Timeout Tells You Nothing. Agents Need a Deadline Budget.
A run that dies at its ceiling with no attribution tells you nothing about which part was slow — and pushes you toward the laziest fix, raising the ceiling. Three nested clocks, an inherited remainder, and a reserved tail slice turn timeouts into a signal you can actually read.
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One Worker Pool or Two? Separating Fast Agent Runs From Slow Ones
A handful of long research runs can starve hundreds of eight-second ticket replies without a single error firing. The fix isn't more workers — it's deciding, at admission, which lane a run belongs in.
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Where Should the Agent Loop Live? Framework, Job Queue, or Workflow Engine
The choice isn't about which framework has the nicer API. It's about what a crash at step six costs — and durable execution engines carry a constraint that fights the way agents are written.
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The First Hour of an Agent Incident
Nothing crashed, no alert fired, and a customer just forwarded a policy answer your support agent invented. The hardest question in the first hour isn't what broke — it's when it started.
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Your Trace Store Will Outgrow Your Model Bill
Storage passed inference cost in three weeks, and the proposed fix — sample at 5% — would have discarded exactly the runs worth keeping. A trace isn't one artifact with one lifetime.