I'm a senior product engineer. I've been writing Ruby and Rails since 2007, with 20+ years in tech across roles as developer, tech lead, engineering manager, product owner, and trainer.

My work sits where product thinking meets engineering: shipping things people actually use, and helping the developers around me get better at the craft.

I build products, I teach testing, and I grow the Ruby community.

• Product engineering in Ruby and Rails — building features end to end, from the product conversation to the deploy. Hands-on implementing LLM features in production.
• AI-assisted development — exploring how to use coding agents well: judgment, prompting, verification. At EuRuKo 2025 I ran the workshop "Don't Let Your AI Guess: Teach It to Test!" — test design matters more now that code is cheap to generate.
• Teaching test design — systematic, repeatable techniques for writing test cases: equivalence partitioning, boundary values, decision tables, state transitions. I'm an ISTQB certified trainer and have delivered testing courses and workshops since 2013.

• All About Coding — technical articles on Ruby, Rails, and Hotwire
• ghinda.com — everything else in one place

• Short Ruby — a Monday-morning summary of articles, discussions, and news from the Ruby community. Curated weekly since 2022, read by 6,000+ Ruby developers.
• Field Notes — short, practical notes from my workbench: Ruby, testing, AI-assisted development, building products.

• Good Enough Testing — workshops and courses that teach developers test design techniques
• rubyandrails.info — open-source curated directory of resources for learning Ruby and Rails
• Friendly.rb — European Ruby conference I co-organize in Bucharest
• programming-languages-in-startups — analysis of language adoption across YCombinator Top 100 and Techstars Top 50
• simple-result — a simple, idiomatic Ruby implementation of a result monad

Skills that teach agents how to work:

• superpowers-ruby — Claude Code superpowers: core skills library for Ruby and Rails projects
• superplanning — a skill that helps AI agents plan a new product or feature
• llm-prompts-skill — skills for auditing and building LLM integrations against prompt injection attacks

Tools around the agents themselves:

• agent_sessions — where do AI coding agents store their session logs? This gem knows. Covers 11 agents, read-only by design
• agent_homedir — find the home folder an AI coding agent uses, without reading contents
• all-in-ruby — CLI that adds a "write throwaway scripts in Ruby" instruction to agent files (CLAUDE.md, AGENTS.md) for Claude Code, Codex, OpenCode, and Cursor
• jekyll-agent-markdown — Jekyll plugin that exports posts as raw Markdown and publishes an llms.txt index

"During the workshop, Lucian introduced useful techniques to help developers and AI reason about our tests and the problem space." — José Valim, creator of Elixir

"Lucian helped us implement an entirely new testing paradigm that has already saved us countless hours of manual effort while also improving the quality of our codebase." — Andrew Erlanger, CTO, Code & Co

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