This path runs as one judged programming problem per day rather than workspace missions: one judged programming problem per day, with adaptive topic selection and streaks. The sequence above is the order the topics arrive in, adapted to how you are doing.
How the scoring works
Each deliverable is graded against the rubric written for that mission. Separately, every mission on every path is graded on how you used AI, against the same four criteria:
Understood the task. The learner framed the goal for the assistant clearly instead of pasting the brief and hoping.
Grounded in the material. The learner directed the assistant into the provided files and based the work on them, not on invented facts.
Verified the output. The learner checked claims, numbers, or coverage against the source material before submitting.
Iterated with judgment. The learner refined weak parts of the draft with specific follow-ups rather than accepting the first answer.
Both scores, with the work behind them, go on your proof profile. That is what makes a claim like "I can use AI for python engineering" something an employer can check.
Common questions
Do I need to know how to use AI tools already?
No. Every mission starts from a brief and the source files a real colleague would hand you. You direct the assistant in the workspace, and the process score tells you exactly where your framing, grounding, verification or iteration fell short, so the next mission goes better.
What does a python engineering mission look like?
You work through the python engineering sequence: syntax and functions, arrays and hashing, strings, APIs and automation, data tasks. Each step is a realistic brief with its own source material.
How is the work scored?
Twice. An outcome rubric written for that mission grades the deliverable on weighted criteria. A shared process rubric grades how you used AI: whether you understood the task, grounded the work in the material, verified the output, and iterated with judgment. Both scores go on your proof profile.
Is it free?
The Starter plan is free with no card: the curated python engineering missions, daily practice and a proof profile. Paid plans add personalised builds for your own role and more AI workspace capacity. See dailybytepro.com/pricing or dailybytepro.com/pricing.