A client's discount calculations kept applying rules that weren't in the application code. After two days of searching, I found them — in a PostgreSQL trigger written by someone who left the company three years ago.
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Hello, I'm Luke
Applied AI architecture, agent harnesses, and notes from getting AI systems into production.
Latest Posts
- The native Go compiler promised 10x faster builds. We got that, plus a week of chasing down every tool in our pipeline that assumed tsc was slow.
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- A client's AI-assisted codebase passed every lint check and had solid test coverage. But under the surface, modules had drifted into contradictory patterns — three retry strategies, four error-handling philosophies, and a data validation layer that depended on which AI session wrote the code.
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- A team built a quick Slack bot for deploy notifications. Eighteen months later, it ran deploys, managed on-call rotation, provisioned environments, and tracked incidents. It had no tests, no docs, and ran on a single EC2 instance nobody monitored.
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- The most common timeout value I see in production codebases is 30 seconds. It's almost never the right choice. Here's why most timeout configs silently make outages worse, and what to set instead.
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