We move engineering teams up the AI ladder.

No. The full-loop engineer compresses handoffs, doesn't eliminate roles. Your PM still owns the roadmap. Your designer still owns the system. Your QA still owns the harness. The engineer ships the first version of a feature without five handoffs to get there.

No. The workshop is tuned after a discovery call. Most teams that already use AI are at the surface 10% of what these tools can do.

That's the actual workshop. Most engineers top out at L3 because letting go is hard. We teach the diff-level review discipline that gets past it.

A 10-engineer team on Claude Code Max runs $1,500 to $3,000 a month at standard usage. We set up token observability on Day 1 so the bill never surprises you, and teach context economy so it goes down over time.

Both. We come to you for the 3-day intensive on-site (recommended), or run it fully remote. The 30-day practice tail is async with one or two sync calls.

It is the opposite, and the study everyone quotes for the worry is the same one that says so. Anthropic published How AI assistance impacts the formation of coding skills on 29 January 2026: 52 mostly junior engineers, all writing Python weekly for over a year, none of them familiar with Trio, split at random between working with an AI assistant that could produce correct code on demand and working without one. Afterwards both groups sat the same comprehension quiz with no AI available. The unassisted group averaged 67%, the assisted group 50%, and the steepest drop was in debugging, which the authors attribute to the assisted group simply never hitting the errors that teach it. That is the headline, and on its own it reads as an argument for using the tools less. The rest of the paper says otherwise. The interesting spread was inside the assisted group, not between the groups: six distinct interaction patterns were identified, three of which scored under 40% while three scored between 65% and 86%, at or above the people who had no assistant at all. The engineers in that upper band used the assistant to build understanding while it produced code, asking follow-up questions, requesting the reasoning behind an implementation, sending hybrid requests that come back with both. They were not the fastest in the session and they were the ones who still knew the material at the end of it. Same tool, same task, opposite outcome, decided by how the person worked with it. That is a habit, and habits are what a workshop installs. So it is a direct part of what we teach: what to delegate and what to read, how to ask for the reasoning rather than only the result, how to review a diff you did not type, and how to keep the debugging reps that build the judgment everything else depends on. It is the same discipline the ladder is built on, and the reason we teach letting go of writing every line alongside knowing exactly what you are approving.

No. It runs on your engineers at whatever level they are, on your own codebase, and the mix in the room is usually the point rather than a compromise: a senior who can already direct an agent well is where the rest of the team learns fastest, and the questions that surface in that room are the ones your review culture was going to hit anyway. Two things worth being straight about. The 2026 research on skill formation was run on mostly junior engineers learning an unfamiliar library, so we quote it for what it measured and do not stretch it into a claim about your principal engineers. And separately, we do not place juniors as engineers at all: our embedded engineers are mid-senior to senior, three years minimum and typically five or more. Training is a different service with a different shape. It upgrades your people rather than adding ours.