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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.

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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 29 · ~11 min●

Week 4 put every defensive pattern on the table. What changed in how you write automation now that you have seen each one?

Failures stopped feeling like exceptions. Every API call gets a wrapper; every write gets a guard. The function is still short — just a lot harder to break.

That is production thinking. Defence is not pessimism; it is honest engineering for systems that share the network with every other server on the planet.

The capstone was satisfying — sixteen lines that read two APIs, write to a third, and always hand back a valid receipt dict.

Layered defence plus a typed return equals a function you can schedule and forget. Quick check on each pattern before you close the track.

Week 4 Recap

Four resilience patterns and the capstone:

safe_email_snippets — try/except around one read, type-stable return
count_with_fallback — parameterised wrapper covering any action + list key
pipeline_emails_to_tasks — per-item try/except inside the write loop
validate_and_send — local input guards before the API call
orchestrate — capstone stacking every pattern into one sixteen-line function

Key insight: guards run before API calls, try/except wraps them, sentinels signal failures, and receipt dicts document exactly what happened on each run.

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Day 29 · ~11 min●

Week 4 put every defensive pattern on the table. What changed in how you write automation now that you have seen each one?

Failures stopped feeling like exceptions. Every API call gets a wrapper; every write gets a guard. The function is still short — just a lot harder to break.

That is production thinking. Defence is not pessimism; it is honest engineering for systems that share the network with every other server on the planet.

The capstone was satisfying — sixteen lines that read two APIs, write to a third, and always hand back a valid receipt dict.

Layered defence plus a typed return equals a function you can schedule and forget. Quick check on each pattern before you close the track.

Week 4 Recap

Four resilience patterns and the capstone:

safe_email_snippets — try/except around one read, type-stable return
count_with_fallback — parameterised wrapper covering any action + list key
pipeline_emails_to_tasks — per-item try/except inside the write loop
validate_and_send — local input guards before the API call
orchestrate — capstone stacking every pattern into one sixteen-line function

Key insight: guards run before API calls, try/except wraps them, sentinels signal failures, and receipt dicts document exactly what happened on each run.

Week 4 Recap

Four resilience patterns and the capstone:

safe_email_snippets — try/except around one read, type-stable return

count_with_fallback — parameterised wrapper covering any action + list key

pipeline_emails_to_tasks — per-item try/except inside the write loop

validate_and_send — local input guards before the API call

orchestrate — capstone stacking every pattern into one sixteen-line function

Key insight: guards run before API calls, try/except wraps them, sentinels signal failures, and receipt dicts document exactly what happened on each run.

Week 4 Recap

Four resilience patterns and the capstone:

safe_email_snippets — try/except around one read, type-stable return

count_with_fallback — parameterised wrapper covering any action + list key

pipeline_emails_to_tasks — per-item try/except inside the write loop

validate_and_send — local input guards before the API call

orchestrate — capstone stacking every pattern into one sixteen-line function

Key insight: guards run before API calls, try/except wraps them, sentinels signal failures, and receipt dicts document exactly what happened on each run.