A client implemented soft deletes across their entire data model for compliance reasons. Six months later, a GDPR request revealed they hadn't actually deleted anything — and the workarounds had introduced three new bugs.
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Hello, I'm Luke
Applied AI architecture, agent harnesses, and notes from getting AI systems into production.
Latest Posts
- Two years of green checkmarks on the nightly backup job. Then we actually needed to restore data, and discovered the backups were missing half the schema.
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- 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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- 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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