Hi, I'm Elena.
Curious about AI? So am I — I code, break things, and write down what actually happens.
PhD in Computer Science · 20+ years in web development · 10+ years in engineering & IT consulting
Writing about AI since 2021 · 230+ technical posts
Practical AI, Python coding, and honest notes from a computer scientist learning in public — including the bits that still confuse me. Sign up for weekly notes and grab two free gifts: the 15-page Fantastic AI: The 2026 Toolkit and a Git Commands & Contribution Workflow Cheatsheet.
Learning paths
Structured multi-part series — good if you want to go deep instead of just skimming headlines.
AI Coding Assistants & IDE Workflows
Cursor, Windsurf, Claude Code, and agent-native IDEs — practical setups for real development.
Codex CLI
A four-part guide to OpenAI's terminal coding agent, from installation to advanced workflows.
Machine Learning
A structured path from ML foundations to modern fine-tuning and model engineering.
Python Basics
Core scripting, clean code, and Python fundamentals that compound over time.
Got an AI question?
Ask me about AI, Python, agents, local models, or AI tools — I'll research it against my own articles and send you a practical, personal reply.
Featured posts
A few of my favourites — pick one and see where it takes you.
Latest posts
Fresh out of the oven — what I've been building and figuring out lately.
Not sure yet? Browse past issues →
About me
I'm Elena — a computer scientist and technical blogger exploring AI, Python, machine learning, and the changing world of software. I got my first taste of AI as a university coursework assignment, writing a small expert system in Prolog — years before it was the thing everyone talked about. These days I get to live that fascination out for real, coding with AI daily and writing down what I learn along the way.
This blog is where I test tools, explain concepts, and write down what I learn — so you can follow along without needing to decode hype, marketing, or academic fog. Ten years in engineering and IT consulting taught me that the gap between "technically possible" and "actually works" is where the interesting stuff lives.
Happy reading — and if something sparked a question, write to me.
