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

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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.

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

Capíttulos

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 episodios

Artwork
iconCompartir
 
Manage episode 521307193 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.

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

Capíttulos

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 episodios

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