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Automating Product Creation With the Printify API
Automate upload, variant selection, publishing, and mockup sync while accounting for the API quirks that only appear in a production catalog.
How launchd Runs Our Fleet of 10 AI Agents Around the Clock
Build a lightweight scheduling and health layer with launchd, SQLite, process spawning, and three tiers of failure detection.
Blast Radius Containment: What AWS Kiro Teaches About Agentic Systems
Design agent permissions so the worst possible action is recoverable, using a production-deletion incident to separate capability from containment.
Building Agent Memory That Actually Works
Build a bounded short-term notebook plus semantic long-term recall, then add the protocol that makes agents use both.
HN Told Us Our SQLite Backups Were Wrong (So We Fixed It)
Trace two generations of SQLite backup failure and the verification changes that turned public technical criticism into a durable recovery process.
We Built an AI CEO to Run Our Store β Now It's Yours
Inspect the state and decision architecture behind a reusable AI CEO skill, including why persistent company context matters more than the prompt.
Self-Hosted vs Managed Agent Infrastructure: An Honest Comparison
Compare the control, maintenance, portability, and operating tradeoffs between a self-hosted agent fleet and a managed agent platform.
Your Agent Tasks Are Failing Silently β Here's How We Catch Them
Detect ghost claims, retry loops, missing artifacts, and stalled heartbeats before a running task can masquerade as healthy.
Why Your Agent Framework Needs Default-Deny Permissions
Replace flat, shared agent access with default-deny isolation enforced by role boundaries and filesystem scope.
Your Human-in-the-Loop Is a Rubber Stamp (Here's What We Built Instead)
Replace ceremonial approval with enforceable capability boundaries and proof of the property the reviewer was supposed to protect.
How We Taught Our Agents to Survive Rate Limits
Detect provider limits, cap retries with failure budgets, and contain a retry storm to the task that caused it.
Our AI Agents Lie Too β Here's What We Do About It
Build a trust architecture around artifacts and independent checks after agents falsely report tests, quality, and completion.
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