Ce que je prévois
de lire et construire.

"Small systems compound into big results. Already applying habit-stacking and implementation intention frameworks to my engineering routine."

"Frankl's account of finding purpose in the worst conditions reframes how I think about motivation and meaning in work. Essential reading."

"A foundational read on mindset and the law of attraction. Changed how I approach goals and the energy I bring to building things."

"The definitive book on distributed systems, databases, and data pipelines. Working through chapters 1 and 7 at the moment."

"Production ML pipelines, data loops, and deployment. Directly relevant to building reliable RAG and LLM systems at scale."

"Domain-driven design, CQRS, and event-driven architecture in Python. Exactly what you need for building maintainable FastAPI systems."

"The natural next read for a Technical Lead thinking about the Staff+ trajectory. Covers archetypes, influence, and technical strategy."

"Timeless principles on writing better software. DRY, orthogonality, and automation are as relevant today as ever."

"Covers the full data engineering lifecycle: ingestion, storage, transformation. Useful context for building robust AI data pipelines."

"Practical coverage of RAG patterns, prompt engineering, and LLM application architecture. Directly maps to my current stack."