Distributed systems, real-time interfaces, and practical AI engineering. Practical lessons derived from building distributed platforms, production search SaaS, and high-throughput real-time protocols.
How declarative configuration files, rigorous schema validation, and graph intermediate representations eliminate documentation rot in production architectures.
Implementing the Transactional Outbox Pattern, idempotent consumers, and non-blocking retry topics to eliminate message loss and split-brain states.
Why AST-aware chunking, contextual metadata enrichment, and pgvector hybrid retrieval matter far more than LLM parameter count in codebase search.
Techniques for handling high-frequency tick streams without browser UI freezing, memory leaks, or stale connections.