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How This Broadcom Dev Uses Spring to Power AI Workflows | Josh Long

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Manage episode 485236241 series 3585084
Content provided by Tessl. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tessl or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

What happens when the OG Spring Dev, Josh Long, teams up with Simon Maple on AI Native Dev?
You get a front row seat to them building a Spring powered app that showcases the future of AI integration.
While building the app, they discuss:

  • why developers are adopting Spring AI
  • how Spring is becoming the go-to for AI engineering
  • why companies route users from humans to IVRs
  • understanding model context protocol

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. Josh Long- https://www.linkedin.com/in/joshlong/
  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 the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

Capitole

1. Trailer (00:00:00)

2. Introduction (00:01:16)

3. Spring AI capabilities (00:02:06)

4. Where AI comes in (00:04:09)

5. Demo rationale: adopt a dog (00:07:13)

6. Project setup and dependencies (00:10:00)

7. System prompt engineering (00:17:43)

8. Spring Data JDBC Access (00:21:42)

9. RAG with PGVector (00:23:44)

10. Tool calling and scheduling (00:28:41)

11. Extracting to MCP Service (00:37:29)

12. Observability and production readiness (00:40:51)

13. Outro (00:43:37)

84 episoade

Artwork
iconDistribuie
 
Manage episode 485236241 series 3585084
Content provided by Tessl. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tessl or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

What happens when the OG Spring Dev, Josh Long, teams up with Simon Maple on AI Native Dev?
You get a front row seat to them building a Spring powered app that showcases the future of AI integration.
While building the app, they discuss:

  • why developers are adopting Spring AI
  • how Spring is becoming the go-to for AI engineering
  • why companies route users from humans to IVRs
  • understanding model context protocol

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. Josh Long- https://www.linkedin.com/in/joshlong/
  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 the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

Capitole

1. Trailer (00:00:00)

2. Introduction (00:01:16)

3. Spring AI capabilities (00:02:06)

4. Where AI comes in (00:04:09)

5. Demo rationale: adopt a dog (00:07:13)

6. Project setup and dependencies (00:10:00)

7. System prompt engineering (00:17:43)

8. Spring Data JDBC Access (00:21:42)

9. RAG with PGVector (00:23:44)

10. Tool calling and scheduling (00:28:41)

11. Extracting to MCP Service (00:37:29)

12. Observability and production readiness (00:40:51)

13. Outro (00:43:37)

84 episoade

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