Latest

Pillars

  • Agentic AI in production

    How to run LLM agents as production software rather than as demos: evaluation harnesses, validation layers, cost control and failure handling. Written for the engineers who own an agent after launch.

  • Scalable AI architecture

    The infrastructure underneath AI features: retrieval, vector stores, caching, sharding and latency budgets. Each piece works through the arithmetic and the failure modes before the tooling.

  • EdTech and assessment infrastructure

    Building assessment and learning systems that hold up at institutional scale: integrity, item quality and deployment into schools. Notes from building AI assessment platforms for schools across India.

  • Flutter and mobile at scale

    Engineering mobile apps for large device fleets and long-lived codebases: architecture, release pipelines, offline-first design, and when Flutter is the wrong choice.

  • Founder and operator lessons

    What running several technology companies at once teaches about delivery, cash flow, procurement and where a technical founder’s time goes. Specific and practical, written for other builders.