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The starter track is free — read all lessons and practice for free. Full access to every track (current and future) is $14.99/month. Cancel anytime.

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Each track is designed as a 30-day challenge — one lesson per day, about 15 minutes each. Go at your own pace, but the structure is built around daily consistency.

What's the lesson format?

Each lesson is a student-teacher dialogue with code examples, followed by a hands-on code challenge in an in-browser editor. You read, you understand, then you write real code.

Do I need prior coding experience?

Our beginner track starts from absolute zero — no prior experience needed. Advanced tracks build on earlier ones, and the platform tells you exactly where to start.

How is zuzu.codes different from freeCodeCamp or Codecademy?

zuzu.codes uses a structured 30-day track format with dialogue-based teaching, an in-browser code editor, and gamification (XP, streaks, progress tracking). The format builds genuine understanding through daily practice.

Day 15 · ~11 min●

Chains and validation. Eight questions, 80% to pass.

These are the patterns that turn an LLM-using script from "works on my laptop" into something you'd ship.

What week 2 covered

Lesson	Concept
8	Chained prompts — output of step N feeds step N+1
9	Classify → branch — Python `if` routes to a specialised second prompt
10	Output validation — validate with regex/schema, retry on mismatch with feedback
11	Self-critique — writer / critic / reviser, 3 calls
12	Moderation — gate inputs through a safe/unsafe classifier
13	Eval criteria — checklist of deterministic checks, computed pass rate

Week 3: agents — LLM + tools + loop — plus eval suites and the 3-week synthesis.

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Day 15 · ~11 min●

Chains and validation. Eight questions, 80% to pass.

These are the patterns that turn an LLM-using script from "works on my laptop" into something you'd ship.

What week 2 covered

Lesson	Concept
8	Chained prompts — output of step N feeds step N+1
9	Classify → branch — Python `if` routes to a specialised second prompt
10	Output validation — validate with regex/schema, retry on mismatch with feedback
11	Self-critique — writer / critic / reviser, 3 calls
12	Moderation — gate inputs through a safe/unsafe classifier
13	Eval criteria — checklist of deterministic checks, computed pass rate

Week 3: agents — LLM + tools + loop — plus eval suites and the 3-week synthesis.

What week 2 covered

Lesson	Concept
8	Chained prompts — output of step N feeds step N+1
9	Classify → branch — Python `if` routes to a specialised second prompt
10	Output validation — validate with regex/schema, retry on mismatch with feedback
11	Self-critique — writer / critic / reviser, 3 calls
12	Moderation — gate inputs through a safe/unsafe classifier
13	Eval criteria — checklist of deterministic checks, computed pass rate

Week 3: agents — LLM + tools + loop — plus eval suites and the 3-week synthesis.

What week 2 covered

Lesson	Concept
8	Chained prompts — output of step N feeds step N+1
9	Classify → branch — Python `if` routes to a specialised second prompt
10	Output validation — validate with regex/schema, retry on mismatch with feedback
11	Self-critique — writer / critic / reviser, 3 calls
12	Moderation — gate inputs through a safe/unsafe classifier
13	Eval criteria — checklist of deterministic checks, computed pass rate

Week 3: agents — LLM + tools + loop — plus eval suites and the 3-week synthesis.