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What If Fixing Code Wasn’t Your Job Anymore? | Jonathan Schneider & Moderne

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Manage episode 495877409 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://player.fm/legal.

Jonathan Schneider, co-founder and CEO of Moderne, joins Simon Maple to share how real engineering teams are using Moderne’s rewrite engine to reduce technical debt at the source, and drive org-wide transformation.
On the docket:

  • the hard limit LLMs can’t scale past
  • why OpenRewrite uses a declarative framework
  • the real challenge: accessing the compiler’s truth

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. Jonathan Schneider- https://www.linkedin.com/in/jonkschneider/
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

Chapters

1. Trailer (00:00:00)

2. Introduction (00:01:10)

3. Founding story – park-bench coding to Miami HQ (00:04:10)

4. Netflix days: birth of OpenRewrite (00:07:30)

5. The 40% maintenance tax and recipe catalog (00:10:40)

6. Why AI alone isn’t enough – deterministic rewrites (00:13:50)

7. Push-based vs pull-based change and mass PRs (00:17:00)

8. Data-table impact analysis across thousands of repos (00:20:51)

9. LLM agents tapping a 5-billion-line code lake via MCP (00:24:21)

10. Security fixes, vulnerability repair & large-scale migrations (00:28:51)

11. Roadmap, new languages, how to try Moderne (00:33:21)

12. Closing (00:36:08)

83 episodes

Artwork
iconShare
 
Manage episode 495877409 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://player.fm/legal.

Jonathan Schneider, co-founder and CEO of Moderne, joins Simon Maple to share how real engineering teams are using Moderne’s rewrite engine to reduce technical debt at the source, and drive org-wide transformation.
On the docket:

  • the hard limit LLMs can’t scale past
  • why OpenRewrite uses a declarative framework
  • the real challenge: accessing the compiler’s truth

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. Jonathan Schneider- https://www.linkedin.com/in/jonkschneider/
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

Chapters

1. Trailer (00:00:00)

2. Introduction (00:01:10)

3. Founding story – park-bench coding to Miami HQ (00:04:10)

4. Netflix days: birth of OpenRewrite (00:07:30)

5. The 40% maintenance tax and recipe catalog (00:10:40)

6. Why AI alone isn’t enough – deterministic rewrites (00:13:50)

7. Push-based vs pull-based change and mass PRs (00:17:00)

8. Data-table impact analysis across thousands of repos (00:20:51)

9. LLM agents tapping a 5-billion-line code lake via MCP (00:24:21)

10. Security fixes, vulnerability repair & large-scale migrations (00:28:51)

11. Roadmap, new languages, how to try Moderne (00:33:21)

12. Closing (00:36:08)

83 episodes

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