Topics

Follow the skills you care about.

Topic-first, not outrage-first. Each topic is a focused stream of useful engineering signal.

AI Engineering

Building real systems with LLMs: retrieval, evaluation, agents, latency, and cost. The signal for engineers shipping AI in production, not hype.

Working effectively with Claude Code: agentic workflows, tool use, and shipping real changes. Updates tracked by an unofficial watch channel.

Codex for software engineers: capabilities, limits, and practical workflows. Tracked by an unofficial watch channel.

Cursor patterns that actually speed engineers up, and where to be careful. Tracked by an unofficial watch channel.

GitHub Copilot in real codebases: review discipline, prompts, and pitfalls. Tracked by an unofficial watch channel.

Gemini for engineering work: strengths, integration, and updates. Tracked by an unofficial watch channel.

Retrieval-augmented generation done right: chunking, embeddings, reranking, and evaluation that predicts real user outcomes.

System design lessons for interviews and for production: tradeoffs, scaling, consistency, and reliability.

Architecture notes for engineers: boundaries, coupling, evolvability, and decisions you can defend.

Getting ready for the AWS AI Practitioner path: concepts, services, and readiness signals.

Azure AI Fundamentals prep: core concepts, services, and what to focus on before exam day.

Grow from strong engineer to trusted decision-maker: scope, communication, and reputation that compounds.

Interview preparation for engineers: coding, system design, and explaining your work under pressure.

Notable open-source work worth your attention, and how contributing builds real engineering reputation.