Berktug Berke Ates
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Field notes on software architecture, AI products, cross-platform engineering, reliability, and technical leadership.
Designing Kill Switches for AI FeaturesIf you cannot disable an AI capability within minutes without taking down the product, you are not ready to expose it to irreversible actions. · 7 min readMobile Background Work That Survives OS LimitsBackground sync is not a forever daemon. Design mobile work around OS budgets, deferrable tasks, and user-visible outcomes that still complete when the app is frozen. · 7 min readSchema Validation as a Product BoundaryTreat schemas as the contract that separates product intent from implementation drift—especially when models, partners, and services invent fields under pressure. · 7 min readRelease Trains for AI-Assisted ProductsAI features change weekly. Release trains keep product, model, and evaluation changes shipping on a predictable cadence without turning every prompt edit into an emergency deploy. · 7 min readAI Crawler Control Is Now Web InfrastructureAI crawler policy has moved from a side note in robots.txt to a production control plane for visibility, cost, licensing, and trust. · 8 min readAgent Identity Is Production InfrastructureAutonomous agents are turning identity from a login concern into the control surface for every tool call, approval, and recovery path. · 8 min readContainment Is the Control Plane for AI AgentsWhen an agent can use tools, production safety depends on what the environment makes reachable—not what the model promises to avoid. · 10 min readFailure Modes of AI Feature RolloutsMost AI launches fail in the gaps between demos, dashboards, and real user workflows. · 8 min readContext Engineering for Reliable AI FeaturesMost AI product failures are context failures. Design retrieval, memory, and instructions as a system. · 8 min readEngineering AI Products That Earn TrustA practical architecture for useful, observable, and dependable AI features in production. · 8 min read