Try for free
Spec-Driven Development on a Higher Level: Guardrails for AI Agents
Event PAST

Spec-Driven Development on a Higher Level: Guardrails for AI Agents

09 September Online

Join this event

🎟️ Register / View Event Details

About this event

Agents 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

Part of **Software Engineering for the AI Era* — a recurring workshop series on agentic coding and AI-native delivery.*

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support