Description
Frances Coronel, a product engineer at Slack, built a personal AI setup to work faster and shared it in a public channel. Engineers across the company started forking it without being asked. That organic pull grew into Slack's internal AI tool catalog: a single source of truth for Model Context Protocol (MCP) servers, skills, and GitHub Copilot agents, backed by an adoption dashboard tracking real usage data across teams. In this GitHub Universe 2026 session, Frances demos the catalog, shares six months of real adoption metrics, and shows how a personal productivity hack became org-wide infrastructure. You'll learn how to build an internal AI tool catalog on GitHub with Projects and Issues, measure adoption with real telemetry instead of surveys, and create the cultural conditions that make AI tooling spread on its own.
Speakers:
Frances Coronel, Senior Software Engineer, Slack
Watch more videos from GitHub Universe 2026: https://www.youtube.com/watch?v=AArI948SDz8&list=PLENrlACZ7mnU
— CHAPTERS —
00:00 Introduction & the AI setup mess
01:08 From personal hack to internal tool
02:24 Introducing the DevX PI catalog
03:55 Meet Frances Coronel
05:14 Addressing AI knowledge silos
06:57 Catalog: a single source of truth
10:33 Catalog architecture & growth
11:55 Experimentation & automation with AI
14:39 Accessing the catalog via Slack
16:16 Cultivating an AI-first culture
17:52 Recommendations for internal AI tools
#GitHubUniverse #Slack #AITools
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