Course contents

Tutor notes. For the person running the sessions.

Session 2: tutor notes

Objective: they internalise that output quality is mostly input quality, gets the context-hygiene habits (fuel gauge, /clear, two-corrections rule, save/restore as ritual), and, non-negotiable, one properly planned increment live before they go home: backlog from the wrongs list, real Definition of Done, the full loop run once together. The loop is the deliverable; their solo run in this session just repeats it.

Timings (2h)

Time Segment
0:00 Homework review, their wrongs list drives this session's examples and becomes the backlog
0:10 /context-restore + context window & rot (/context live)
0:25 Prompt anatomy, rewrite 2 of them failed prompts together
0:45 Plan mode walkthrough (brief, /autoplan is minutes away)
0:55 Backlog + sprint board + DoD; /spec the slice; /autoplan
1:20 Build → /qa → /setup-deploy (+.env pattern) → /land-and-deploy → /canary
1:55 /context-save, this session's solo loop agreed

Tight session, the loop must complete. Cut prompt-anatomy time before cutting the deploy; a live ugly slice beats a beautiful local one (say that sentence to them, it's the whole methodology).

Delivery notes

/autoplan: meeting the delegate first

They meet the automated review board before they're ever sat on one, the reverse of how professionals usually earn delegation, and that's deliberate: slice-sized stakes are exactly what auto-adjudication is for. The line to plant (it pays off on Session 5): "there are four reviewers inside this thing. For the big project, you'll sit in every one of those chairs yourself." Have them read the auto-decisions scroll past and stop on one: "would you have ruled the same way?" If they override one with a reason, that's the whole course working. Note /autoplan is token-hungry: run it early: this is one of the heavier sessions.

Deploy session prep (before the session)

Sticking points

PM war story slot

A project that built exactly what the spec said and not what anyone wanted. Requirements as guesses vs requirements as decisions.