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What Holds Devs Back From Multi-Agent Thinking | Guy Podjarny

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Manage episode 521307193 series 3585084
Konten disediakan oleh Tessl. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Tessl 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.

LLMs don’t get smarter when you dump everything into context, they get distracted.
At AI-Native DevCon, Guy Podjarny unpacks the evolution of AI augmented development, and how devs can get the most from current tools.
On the docket:
• how to help agents close the capability-reliability gap
• why 'context engineering is basically the same as specs.'
• why statistical measurement is the only meaningful way to judge agent reliability.
• how ‘tiles’ level inconsistent documentation across old and new libraries.
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. Guy Podjarny- https://www.linkedin.com/in/guypo/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/
Join our AI Native Dev Community: https://discord.com/invite/jbb2vHnHZQ?utm_source=footer&utm_medium=tessl+website&utm_campaign=community

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

  continue reading

Chapter

1. Trailer (00:00:00)

2. Introduction (00:01:07)

3. Keynote Speaker Introduction (00:02:05)

4. The Evolution of AI in Software Development (00:03:40)

5. Challenges and Solutions in AI Agent Reliability (00:04:44)

6. Context Engineering in Practice (00:11:52)

7. Conclusion: The Future of AI and Context Engineering (00:25:23)

83 episode

Artwork
iconBagikan
 
Manage episode 521307193 series 3585084
Konten disediakan oleh Tessl. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Tessl 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.

LLMs don’t get smarter when you dump everything into context, they get distracted.
At AI-Native DevCon, Guy Podjarny unpacks the evolution of AI augmented development, and how devs can get the most from current tools.
On the docket:
• how to help agents close the capability-reliability gap
• why 'context engineering is basically the same as specs.'
• why statistical measurement is the only meaningful way to judge agent reliability.
• how ‘tiles’ level inconsistent documentation across old and new libraries.
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. Guy Podjarny- https://www.linkedin.com/in/guypo/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/
Join our AI Native Dev Community: https://discord.com/invite/jbb2vHnHZQ?utm_source=footer&utm_medium=tessl+website&utm_campaign=community

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

  continue reading

Chapter

1. Trailer (00:00:00)

2. Introduction (00:01:07)

3. Keynote Speaker Introduction (00:02:05)

4. The Evolution of AI in Software Development (00:03:40)

5. Challenges and Solutions in AI Agent Reliability (00:04:44)

6. Context Engineering in Practice (00:11:52)

7. Conclusion: The Future of AI and Context Engineering (00:25:23)

83 episode

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