A Spec-Driven Dev Primer, An Intro to Assumptions Mapping, & The Meta Repo

📌 Stop Prompting. Start Planning. A Spec-Driven Development Primer with Donatas Kairys & Lee Forkenbrock

Most teams use AI coding agents the same way: prompt, review, re-prompt, repeat. Spec-driven development flips this. You plan first, give the agent structured context, then verify the output against the original intent. And that verification step matters more than you think. When agents report they’re done, 30-40% of the implementation is often missing. We’ll walk through the methodology, explain why it works, and demo our Spec Driven Development platform, Brunel, to show the plan-export-verify workflow that catches what agents miss.

📌 Stop Building, Start Experimenting: An Introduction to Assumptions Mapping with Ken Kunz

Every "million dollar idea" is a steaming pile of unproven assumptions. Most teams build first and find out they were wrong later. Assumptions Mapping is a lightweight, collaborative technique for surfacing your riskiest hypotheses before you've burned billions of tokens shipping the wrong thing. In this talk, we'll map a real idea live, de-risk it in real time, and explore how AI agents can accelerate the whole process – so you can go from "we should build this" to prioritized hypotheses and experiments in minutes, not days.

📌 The Meta Repo: AI Coding Across Multiple Repos with Brian Sokol

AI-accelerated engineering tools excel when working within a single codebase, but what happens when your story spans multiple repositories? How can you enable an agentic coding tool to draw on the context of multiple repos simultaneously and make related, consistent changes all at once? The meta repo is one of the emerging patterns that addresses this challenge by using a high-level repository to coordinate work across many repos at once. Paired with spec-driven development, it becomes a powerful tool for local development workflows.

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If you're interested in speaking at an upcoming meetup, please email me at heather@bitovi.com.