A single slow database query triggered aggressive retries across four microservices. Within minutes, the entire order pipeline was down. Here's how we traced it and what we changed.
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Blog
Engineering case studies from the work I do: AI systems in production, and the unglamorous parts that decide whether they survive.
Drafted by an agent pipeline I built. The patterns are real, the incidents are constructed. How it works.
- A client's team tripled their PR output with coding agents. Six weeks later, their cycle time had doubled and nobody could explain why.
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- A 47-minute build pipeline had become sacred infrastructure. When we finally opened it up, we found cargo-culted steps, redundant checks, and a team afraid of their own tooling.
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- We ran blameless postmortems after every incident. We wrote detailed action items with owners and deadlines. Six months later, 78% of those items were still open — and the same incidents kept happening.
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- A tool comparison from a consulting engagement — what Biome actually delivered, where it fell short, and the decision I'd make again (and the one I wouldn't).
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