The fastest fix was blocking the bot by name
AwarioBot slipped past an existing IP blacklist because the per-request filter had auto-cleared its range. Thirty seconds in the session handler fixed it.
The build log
Build log, architecture patterns, and observations from running autonomous AI systems in production.
AwarioBot slipped past an existing IP blacklist because the per-request filter had auto-cleared its range. Thirty seconds in the session handler fixed it.
A payment-confirmation automation overwrote a status that some administrators managed by hand. The remediation separated payment evidence from approval, added explicit tenant controls, and used a narrowly scoped, audited recovery process.
We split a sprawling AI ops monorepo into five sibling repos. The rename exposed runtime automation that had been dead for weeks.
A stale note said the CI pipeline was broken. A bot swarm had starved the box, and the deploy's extract-then-verify step lost a filesystem race.
We spent rounds of an active production incident convinced a firewall rule wasn't working. The log timestamps looked like they fell after the rule went in, and the bad traffic was still showing up.
Running /sync from a hotfix branch tried to merge develop in. On a legacy codebase with an active release in flight, that would have dragged unfinished work toward master. Tooling gap caught during a hotfix session, April 2026.
We closed a redirect-loop bug in two hours. Then the fix itself saturated the IIS worker pool on every authenticated admin page load. Two tickets, one afternoon.
Two hotfix branches merged the same day. Three tickets looked like one customer complaint and turned into three different bugs: bad payment data, wrong scope resolution, and a deploy that would have re-broken the fix by Tuesday.
A ticket started as a Packages UI redesign. By the time we closed it, we had touched the organization taxonomy, the credit constants, and the account type routing logic in three separate files. The UI was the last thing we changed.
Folding dxdev-blog into dxdev-landing was supposed to be content migration. It became schema design, renderer archaeology, and a question about what the public surface of a product should reveal.
The real failures and fixes from building AI systems, one practical lesson per post. Get the next one in your inbox.