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How Slack AI Agents Accelerate Dev Productivity | Samuel Messing

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Manage episode 509288807 series 3585084
Contenido proporcionado por Tessl. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tessl o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

AI only becomes effective in workflows when it speaks the language of the enterprise.
In this episode of AI Native Dev, Simon Maple sits down with Samuel Messing, VP of Engineering for Search and AI at Slack, to explore how they are tackling one of AI’s toughest challenges: managing enterprise context at scale for 80% of the Fortune 100.
On the docket:
• why understanding context is critical for enterprise AI
• how Slack’s ‘AI Explain’ helps you make sense of information overload
• how to maintain high-quality work when things are changing fast
• why AI can only succeed if compliance and security are built in from the start
AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.
Connect with us here:
1. Samuel Messing- https://www.linkedin.com/in/samuel-messing/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

Capíttulos

1. Trailer (00:00:00)

2. Podcast Introduction and Guest Welcome (00:01:12)

3. The Role of AI in Slack's Development (00:02:20)

4. The Challenge of Code Reviews in Large Teams (00:27:05)

5. The Future of Development with AI and Slack (00:31:57)

6. The Role of Agents in Software Development (00:36:32)

7. Preparing for Dreamforce and Final Thoughts (00:51:55)

83 episodios

Artwork
iconCompartir
 
Manage episode 509288807 series 3585084
Contenido proporcionado por Tessl. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tessl o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

AI only becomes effective in workflows when it speaks the language of the enterprise.
In this episode of AI Native Dev, Simon Maple sits down with Samuel Messing, VP of Engineering for Search and AI at Slack, to explore how they are tackling one of AI’s toughest challenges: managing enterprise context at scale for 80% of the Fortune 100.
On the docket:
• why understanding context is critical for enterprise AI
• how Slack’s ‘AI Explain’ helps you make sense of information overload
• how to maintain high-quality work when things are changing fast
• why AI can only succeed if compliance and security are built in from the start
AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.
Connect with us here:
1. Samuel Messing- https://www.linkedin.com/in/samuel-messing/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

Capíttulos

1. Trailer (00:00:00)

2. Podcast Introduction and Guest Welcome (00:01:12)

3. The Role of AI in Slack's Development (00:02:20)

4. The Challenge of Code Reviews in Large Teams (00:27:05)

5. The Future of Development with AI and Slack (00:31:57)

6. The Role of Agents in Software Development (00:36:32)

7. Preparing for Dreamforce and Final Thoughts (00:51:55)

83 episodios

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