Engineering AI Adoption on a Live Platform
Engineering AI adoption on a live platform from first adopter to 90% AI-written code in 14 months — no quality drop, no forced departures.
Read →Work
Case studies from the inside. Real constraints, real decisions, and the architecture trade-offs that shipped. Not testimonials — the work itself.
Engineering AI adoption on a live platform from first adopter to 90% AI-written code in 14 months — no quality drop, no forced departures.
Read →A read-isolation architecture for enterprise KPI visibility at an early stage — deferred data infrastructure and a swap path built in from day one.
Read →A three-phase account of separating conflated auth layers in a live platform — from provider-entangled domain model to clean layer boundaries and an enterprise-ready federation path.
Read →Building an authoritative governance layer that aligned multiple product surfaces and reduced divergence.
Read →A sequenced transition away from an opaque external core while protecting continuity and internalizing control.
Read →A sequenced transition that strengthened identity, boundaries, and release discipline while feature delivery continued.
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