O nas
Carrying engineering excellence forward into the AI era.
Look around and everyone's chasing the same things: better models, more skills, sharper rules, LLM-as-a-judge. Almost overnight the industry forgot about plain solid software fundamentals — maybe because it's easier to hope the models will handle the hard parts for us than to put in the work of actually learning them. AI writes most of the code now, and the things that made software durable are quietly eroding: deliberate architecture, real tests, delivery discipline, and the judgment that tells good from merely plausible.
This is the place that goes the other way. We don't take shortcuts — we study software engineering hard and work out how it actually applies in the AI era. That makes this both an academy, where those disciplines get taught, and a lab, where we experiment and find out what holds and what doesn't.
This isn't theory for me. I work on exactly this every day in my professional practice, and these sessions are where I bring that work into the open and teach what I'm learning as I go.
For engineers, tech leads, and architects who intend to still recognize their craft on the other side of this shift.
Nadchodzące wydarzenia
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Spec-Driven Development on a Higher Level: Guardrails for AI Agents
·OnlineOnlineAgents now write more code than you can carefully read. The common answer is "read the plans, read the diffs, write a better prompt."
I don't think that's the answer — and I've got the receipts.
A good spec pins intent. It doesn't pin the solution, so you end up reviewing everything anyway — no certainty, just diligence.
This session is the story of how I stopped doing that: adding deterministic guardrails — behavioral (BDD) tests and enforced C4 architecture — on top of the spec, so I could hand an agent a bigger task and read less of the result by hand.
What you'll walk away with:
- Why "a better prompt" is not the fix — and what a deterministic guardrail actually is
- How a spec becomes an enforced contract: visualized architecture + behavioral tests the agent can't quietly violate
- Where this goes next: the tooling, enforcement, and the frontier — ontologies and neurosymbolic AI
Who it's for: Engineering leaders owning AI adoption, and the senior devs / tech leads / EMs doing the work. If you're trying to move faster than review can keep up, this is for you.
Format: ~50 min talk + live demo, then open Q&A.
Remote, recorded.Wed Sep 9, 2026 · 18:00 CEST (12:00 ET / 09:00 PT), on Google Meet — join link sent when you register.
Save your spot → registration is on Luma (link below), not just Meetup RSVP — that's how you get the recording and the deck afterward: https://luma.com/wlf8j75t
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Part of Software Engineering for the AI Era — a recurring workshop series on agentic coding and AI-native delivery.31 uczestników
