deliberate-practice

Isolate one specific subskill, such as a single algorithm type or refactoring pattern, and practice it in 60-90 minute focused sessions with immediate feedback from tests or code review. Increase difficulty each session and reflect on errors afterward.

Deliberate practice targets weaknesses at the edge of your ability with immediate feedback and reflection, while regular practice is mindless repetition of what you already know. The former drives growth; the latter produces one year of experience repeated ten times.

Productive sessions involve frequent mistakes, high mental effort, and discomfort, indicating you are in the challenge zone. If execution feels automatic and error-free, the task is too easy and no growth is occurring.

Sessions should last 60-90 minutes with 5-10 minute breaks between them, capped at roughly 4 hours per day. Beyond that, mental fatigue degrades the focused attention that deliberate practice requires.

Avoid deliberate practice when you lack any feedback mechanism, when the task is far beyond your current level causing constant failure without learning, or when you are mentally fatigued. In those cases, slow down, reduce difficulty, or rest first.