Automatization is the learning process by which controlled, effortful second language (L2) processing becomes automatic, fast, and effortless through practice – a critical transition for L2 development. Achieving automaticity allows learners to progress from laborious language use to fluent, real-time communication by freeing limited cognitive resources. This research timeline synthesizes four decades of laboratory and classroom research on automatization, bridging cognitive learning theories with pedagogical practice. We trace five key research strands: (1) cognitive mechanisms, including the explicit-implicit knowledge interface; (2) skill development trajectories across phonological, lexical, morphosyntax, and pragmatics domains; (3) instructional approaches promoting automatization of knowledge and skills through deliberate and systematic practice; (4) methodological advances in measuring automaticity (e.g., reaction time, coefficient of variation, neural measures); and (5) individual differences in long-term memory systems (declarative and procedural memory). This timeline offers a comprehensive perspective on how automatization research has significantly advanced our understanding of L2 learning.