Most teams don’t have a tooling problem.

They have a systems problem.

We keep adding tools — Jira, Confluence, dashboards, AI assistants — hoping the next one will fix alignment, clarity, or delivery speed. But when the underlying system is fragmented, new tools just amplify the chaos.

In this session, I’ll introduce The Foundry Model — a repository-centric approach where architecture, specs, backlog, governance, and code live together inside a structured GitHub monorepo.

Instead of scattering knowledge across tools, we:
• Use GitHub Issues as a lightweight, transparent work system
• Store versioned Markdown documentation inside the repository
• Keep ADRs and structured specs alongside the code they shape
• Design documentation intentionally so AI tools operate with full context

The result isn’t “fewer tools.”
It’s a system designed to scale — for developers, product teams, and AI.

You’ll see real repository structures, issue patterns, documentation layouts, and lessons learned while building a production platform using this approach.

If AI amplifies whatever system you give it, your team doesn’t need more tools.

It needs a Foundry.

What you’ll leave with:
• A repeatable monorepo structure for documentation-first development
• Patterns for AI-friendly specs and ADRs
• A lightweight GitHub-based workflow that reduces tool sprawl
• A framework for designing your own Foundry