What It Looks Like When Your AI Agents Debug Each Other in Circles
Commit commit-C1BF changed one environment variable back to DBPASS after an agent had renamed it to DBPASSWORD and broken a database connection that had been working.
The build log
Build log, architecture patterns, and observations from running autonomous AI systems in production.
Commit commit-C1BF changed one environment variable back to DBPASS after an agent had renamed it to DBPASSWORD and broken a database connection that had been working.
I thought the bottleneck was source data. The missing thing was a plain-language layer for business owners and early AI adopters.
The first security commit touched 12 files, added 1,057 lines, and started with an uncomfortable sentence: credentials had been exposed in documentation.
gitleaks-action@v2 asked for GITLEAKSLICENSE on a private repository after we had already wired the scanner into CI. The scanner had not changed. The wrapper around it had.
78 of 12,866 requests that day came back as IIS's own 502 page, on a Chrome upload endpoint's transcript replay.
The failover ladder passed its fire drill at 1:23 AM, and the system description I built around it was still wrong on four separate claims.
An alert system checked whether a token worked before deciding who should send a message. That check passed even when the thing actually supposed to read and act on the message was not running at all.
Four edge rules took main-site downtime from about 39 minutes a day to zero within the hour. Later the same day I found out they were turning away real customer calendar feeds and search engines.
The secretary dashboard was showing thirteen active-work cards. Five of them were real sessions.
The blank error pages had been going on for weeks before anyone tied a number to them: 39 error-minutes a day, averaged over a 7-day window, out of 41 million requests.
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