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LIVE from GitHub Universe: Angie Jones on Goose, MCP, and the Real-World Future of AI Agents

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Abby sits down with Angie Jones, VP of Engineering at Block, live at GitHub Universe to talk about Goose, Block’s open source AI agent and reference implementation of the Model Context Protocol (MCP). Angie shares how Goose went from an internal tool to an open source project that lets the community drive features like multimodel support, and how Block’s 12,000 employees across 15+ job functions (not just engineers) now use agents every day. They dig into practical, non-hype uses of AI agents: detecting when students are struggling, triaging open source issues, segmenting 80k+ sales leads, and even letting a salesperson “vibe code” a feature on the train. Angie also talks about trust and control when giving AI access to codebases, why developers are tired of flashy demos, and how her new AI Builder Fellowship is designed to support the next generation of native AI builders.

Links mentioned in the episode:

https://angiejones.tech

https://github.com/block/goose

https://github.com/block

https://github.com/modelcontextprotocol

https://github.com/features/copilot

https://testautomationu.applitools.com

https://www.selenium.dev

https://playwright.dev

https://www.cypress.io

https://code.visualstudio.com

https://www.salesforce.com

https://github.com/martinwoodward/pyfluff


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  continue reading

49 episode

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iconBagikan
 
Manage episode 522271507 series 2927346
Konten disediakan oleh GitHub. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh GitHub atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Abby sits down with Angie Jones, VP of Engineering at Block, live at GitHub Universe to talk about Goose, Block’s open source AI agent and reference implementation of the Model Context Protocol (MCP). Angie shares how Goose went from an internal tool to an open source project that lets the community drive features like multimodel support, and how Block’s 12,000 employees across 15+ job functions (not just engineers) now use agents every day. They dig into practical, non-hype uses of AI agents: detecting when students are struggling, triaging open source issues, segmenting 80k+ sales leads, and even letting a salesperson “vibe code” a feature on the train. Angie also talks about trust and control when giving AI access to codebases, why developers are tired of flashy demos, and how her new AI Builder Fellowship is designed to support the next generation of native AI builders.

Links mentioned in the episode:

https://angiejones.tech

https://github.com/block/goose

https://github.com/block

https://github.com/modelcontextprotocol

https://github.com/features/copilot

https://testautomationu.applitools.com

https://www.selenium.dev

https://playwright.dev

https://www.cypress.io

https://code.visualstudio.com

https://www.salesforce.com

https://github.com/martinwoodward/pyfluff


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  continue reading

49 episode

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