Deep-dive into llm4s, a production-grade Scala framework for building LLM applications. From type-safe error handling to provider abstraction and context management, it covers agent orchestration and shipping reliable LLM systems in Scala.
Deep-dive guide to effect polymorphism in Scala using F[_] and type classes. Write generic code that works with Cats-Effect or ZIO, then swap runtimes later. Learn EffectSystem patterns, Kleisli composition, and examples from flowforge.
Learn Kleisli from first principles to compose effectful data pipelines with Cats or Cats Effect, wiring sources, transforms, and sinks with clear errors, observability, and easy tests. Includes a Scala example you can lift into prod.
Build Scala compile-time data contracts with macros and TypeInspector patterns so schema drift fails at compile time, not midnight in prod. Includes patterns for required vs optional fields and compile errors that block bad data early.
Build reusable Scala utilities for data engineering on GCP, covering CDC, Delta maintenance, schema evolution, GCS helpers, affected-partition strategies, and error handling. Includes patterns for safe ops and repeatable pipelines.
Building a demand forecasting system with Random Forest, ANN, and hybrid time-series models on Hadoop and Spark. Covers data ingestion, feature engineering, model training, validation, and rollout for large SKU catalogs and seasonality.
How to design reliable AI-agent systems using harness engineering, skills, shell execution, and context compaction. A practical tutorial with real examples for OpenAI Codex and Claude Code ecosystems.
India-focused credit card portfolio with spend routing, caps, forex, lounges, SmartBuy, UPI, and salary perks. Includes grids, cheat sheets, and a practical mapping from spend category to card so rewards beat fees without overthinking.