Agentic Engineering Day.
An in-person workshop for developers, engineering leaders, CTOs, and teams applying AI coding agents to real engineering work.
We work with you in the editor for one day, turning AI-assisted coding into an engineering workflow: clear briefs, review gates, evals, context, and handoff.
Taught from the open AISOFT curriculum. The live day adds guided practice, direct review, and team-specific guidance.
What makes it different
Your prompts become engineering tasks.
We coach the brief, the constraints, and the done condition while the room can see what changed.
The agent does work you can inspect.
Planning, code changes, tests, review, and handoff happen as a loop you can repeat.
You learn what to accept, reject, and ask next.
The work is reviewed against clear standards, so teams leave with better habits and better artifacts.
The shape of the day
The live workshop stays at the practice level. We use a shared exercise to make the method visible, then work alongside each person or team to translate it to their own context. The step-by-step curriculum, pathways, CLI variants, and labs live in the public course.
What changes when agents do real work.
We show where agents help, where review matters, and what a responsible human-in-the-loop workflow looks like.
One shared exercise with live correction.
The room sees how a fuzzy request becomes a brief, a plan, a reviewed diff, and proof of completion.
Bring the method back to your team.
We help you shape a practical first-week plan for one repo, project, workflow, or team standard.
What you'll leave with
- Hands-on practice turning agentic engineering into a workflow your team can repeat.
- A working method for directing AI agents on real engineering work: writing the task, testing the output, setting the quality bar, and giving the agent context.
- Take-home direction: what standards, templates, and review habits to install first, and why those are the right first moves.
- The open curriculum as the detailed reference — pathways, labs, CLI variants, and artifacts live in the public repo.
- A written one-week plan for how you’ll apply this to your own projects, reviewed by the room.
Where the curriculum lives
The public curriculum contains the full training plan: pathways, step-by-step exercises, CLI variants, labs, and portfolio guidance.
Public curriculum: Agentic Engineering — the course.
What to bring
A laptop and basic comfort reading a diff. Setup instructions go out before the date. We keep install work out of the room so the day can stay focused on practice.
Who this is for
Engineers ready to bring AI coding agents into their daily work. Engineering leaders and CTOs setting standards, rollout guidance, and a responsible adoption model. Small product teams moving past ad hoc prompting. Founder-builders shipping AI products who want a stronger engineering workflow.
The day is hands-on in the editor. Basic comfort writing code and reading a diff is enough.
First cohort. Austin, in-person, 8–12 seats. Date and price lock once enough hands go up. One short email follows when it is real.
The curriculum and every artifact are already open. The workshop adds live review and practical guidance for your team.
Tell us you're in.
Name, what you’re building, what you’d want out of a day. We write back when the date is set.