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AI-assisted development workshop

A practical engineering session focused on using AI assistance to move from product intent to a working vertical slice, while keeping scope, human review, and verification explicit.

FormatRepo-backed engineering workshop
Duration1 day
AudienceProduct, backend, frontend, and delivery roles
AttendeesSmall product-engineering group
Primary outputOne verified vertical slice and next-step list

Context

The workshop was designed as a repo-backed delivery session rather than a slide exercise. The group worked from written artifacts, prompt packs, schedule checkpoints, and stop conditions so decisions were explicit and implementation work stayed aligned.

The target was a small but credible application slice: an authenticated user flow where a domain user could create or open a record, submit free text, receive an AI-assisted draft, review it, approve it, and see the approved event in a timeline.

Topics covered

  • Freezing scope around one credible demo path
  • Using AI assistance without letting the workshop drift into uncontrolled exploration
  • Turning product intent into architecture, contracts, and bounded work items
  • Splitting implementation across scaffold reliability, backend, and frontend tracks
  • Verifying the slice with explicit pass/fail criteria and a demo script

Outputs

  • A written scope brief with explicit in-scope and out-of-scope decisions
  • A minimal architecture and work decomposition
  • A runnable local-first application path for the chosen vertical slice
  • A verification checklist and demo verdict
  • A concrete follow-up list instead of an open-ended workshop close

Takeaway

The useful pattern was not β€œlet AI build everything.” The useful pattern was to constrain the work: freeze scope early, keep written artifacts as the source of truth, separate plan from implementation, and verify against a narrow demo path.

Run a similar workshop

Use a structured session to turn AI-assisted development ambition into a scoped delivery path, clear ownership, and a verifiable outcome.