Leaked Claude Code: under 5% of ~500k lines is the intelligence layer. The rest is system engineering. The edge is in who orchestrates AI better.
From RAG-powered support to demand forecasting: 5 production use cases and real metrics from the 12+ AI projects we shipped over the past 18 months.
Mobile-first beyond responsive design: lessons on performance budgets, touch ergonomics, offline-first architecture, accessibility, and progressive loading.
Seven recurring lessons from migrating nine companies to Kubernetes: stateful workloads, observability, CI/CD rewrites, cost modelling, network policy, and DR.
OAuth 2.1, PKCE, mTLS, layered rate limiting, audit logging, and tokenization — practical API security field notes distilled from regulated fintech projects.
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