8 min read
Set Up an Autonomous Developer That Fits Your Workflow
A step-by-step operating model for running a coding agent through your existing tracker, repo, and review step, gated by planning and risk scoring.
Agents
Practical posts on turning recurring work into controlled Task Machine workflows with approvals, checks, agents on your own machines, and a history you can read.
7 min read
Failed Checks Belong in Your Inbox, Not Your Notifications
When an agent's work fails a check, it needs an owner, the evidence, and a next action. That is inbox work, not another alert to scroll past.
7 min read
How Do You Know an Agent's Work Is Good Enough to Send?
Most work you hand an agent has no automatic pass or fail. Here is how to decide it is good enough without redoing it yourself.
6 min read
Keep Your Agents From Burning Through Your Budget
Autonomous agents can run up real costs through retry loops and runaway work. Set budgets, retry limits, and stop conditions before the spend, not after.
7 min read
AI-Native Companies Need Machinery, Not Magic
Why reliable agent work depends on verification, context, approvals, and durable workflow history more than on better agent interfaces.
7 min read
AI Kanban Is Not Enough for Recurring Agent Work
Why boards help visibility but fail to provide the approvals, verification, history, and control recurring agent work needs.
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