Writing about distributed systems, cloud architecture, AI/ML infrastructure, and engineering.
Views expressed here are my own and not those of my employer.
Eleven agents in, the framework choice that mattered wasn't ergonomics or graph syntax. It was whether the runtime had opinions about events, state, and transport. ADK does. Here is what that buys you in production.
An implementation-grade walkthrough of AI-search optimization in 2026, centered on Google AI Mode and Gemini, with the schema graph, llms.txt work, IndexNow wiring, and the debugging sessions that shipped the result — drawn from rebuilding my own site.
The executive summary of a free, open-source playbook for Claude Code and Gemini CLI: the handful of ideas that earned their place after months of trial and error.
The mesh metaphor for agent systems inherits a lineage that's rewriting itself. A careful audit of where the load-bearing work actually is.
What survives and what inverts in modern inference engineering: the physics holds, but the build-vs-buy math shifts every quarter.
Exploring the essential mathematical foundations that practitioners need when working with Large Language Models, from linear algebra to optimization.
A comprehensive guide covering post-training techniques, production deployment, retrieval augmentation, evaluation, hallucination management, and advanced architectures for LLMs.
Key principles and patterns for building systems that gracefully handle failures and continue operating under stress.
A beginner-friendly introduction to Go programming language with practical examples and best practices.