Machine Learning at Terminal Velocity

Modern ML teams are under pressure to move faster from experimentation to production. In this webinar, we explored how engineers can accelerate development by working directly from the terminal with Claude Code, turning the command line into a powerful interface for building and shipping real-world ML systems. Lex Avstreikh demonstrated how AI-assisted coding helps teams design feature pipelines, iterate on models, debug production issues, and deploy changes faster without bouncing between notebooks, IDEs, and dashboards. You will learn: - What terminal-first ML development means and why it matters - How Claude Code applies to real ML workflows (live demo) - How AI speeds up feature engineering, model iteration, and debugging