Paul writes about the operational side of shipping software, progressive rollouts, trunk-based development, technical debt, and the systems that make ship-silently a verb instead of a brand.
A field guide to telling feature flags, config values, and user settings apart, three things that look identical at the API boundary and behave nothing alike. Miscategorize them and you end up with 240 'flags', a dashboard nobody trusts, and a 3am page about a setting that should have been a database row.
Read article →On the web, a flag flip reaches every user in seconds. On mobile, your rollout has to survive review queues, offline devices, persistent on-disk state, and the user who hasn't updated since 2024. A different problem, a different set of patterns.
Read article →Standard percentage rollouts don't translate cleanly to LLM features. Sticky bucketing, shadow evaluation, and capability gating are the three patterns AI engineers actually need, and why your latency, cost, and eval signals all behave differently.
Read article →Progressive rollouts let you ship slowly. Kill switches let you stop instantly. A practical guide to the on-call engineer's most underrated tool, and how to design your code so it actually works at 3am.
Read article →How evaluating feature flags at the edge eliminates latency and transforms the performance profile of your application.
Read article →How to adopt trunk-based development using feature flags to keep your main branch always deployable while shipping large features incrementally.
Read article →A deep dive into progressive rollout strategies using feature flags, from canary deployments to percentage-based releases.
Read article →Feature flags improve velocity, but left unchecked they become a source of complexity. Learn how to keep your flag inventory clean and maintainable.
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