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How Slack AI Agents Accelerate Dev Productivity | Samuel Messing

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Manage episode 509288807 series 3585084
Contenuto fornito da Tessl. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tessl o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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

Capitoli

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 episodi

Artwork
iconCondividi
 
Manage episode 509288807 series 3585084
Contenuto fornito da Tessl. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tessl o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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

Capitoli

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 episodi

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