06 / ENGINEERING NOTES
Engineering Notes
Long-form notes on AI, engineering systems, and organizational evolution.
How to Build an AI-Native Team
AI-native transformation is not a tool rollout. It is a redesign of goals, workflows, human-agent responsibilities, organizational context, evaluation, and governance.
Read articleFrom Query Understanding to Knowledge-Driven Recommendations
A production-minded architecture for tax and finance search, combining structured query understanding, hybrid retrieval, knowledge governance, reranking, and continuous evaluation.
My AI Programming Workbench: Orchestrating Models Instead of Hunting for One Best Tool
How I combine Ollama with Qwen3.5:9B, OpenCode, Claude Code, Codex, and desktop GPT through project context, architecture review, task decomposition, cross-review, and evidence-based quality gates.
Building Production Intelligent Risk Control: Streaming, Lakehouse, Rules, and Models
A production architecture for low-latency, replayable, auditable, and degradable risk decisions using Kafka, Spark Structured Streaming, CDC, Hadoop/Iceberg, rules, and models.
From Random Weights to Local Inference
How I implemented and trained a decoder-only Transformer on a 16GB MacBook Air, then learned why tokenization, data quality, evaluation, and inference controls matter more than a low validation loss.