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How New Libraries Saw a 50% Improvement | Maria Gorinova

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Manage episode 523410680 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.

We’re holding probabilistic systems to deterministic standards.
In this episode of AI Native Dev, Simon Maple talks with Maria Gorinova, Member of Technical Staff at Tessl, about the mismatch between how developers expect software to behave, and how agents actually do.
• how structured context improves abstraction use
• why agent reliability can only be demonstrated through measurement
• how Tessl’s tiles improve reliability without bloating context
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.
Check out the article - https://tessl.io/blog/proposed-evaluation-framework-for-coding-agents/
Connect with us here:
1. Maria Gorinova- https://www.linkedin.com/in/mariagorinova/
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 (00:01:08)

3. Challenges and Solutions in AI Agent Coding (00:04:03)

4. Understanding Documentation vs. Rules (00:21:51)

5. Exploring Abstraction Adherence (00:24:11)

6. Baseline and Scenario Testing (00:26:03)

7. Key Results and Future Directions (00:29:03)

84 episodes

Artwork
iconShare
 
Manage episode 523410680 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.

We’re holding probabilistic systems to deterministic standards.
In this episode of AI Native Dev, Simon Maple talks with Maria Gorinova, Member of Technical Staff at Tessl, about the mismatch between how developers expect software to behave, and how agents actually do.
• how structured context improves abstraction use
• why agent reliability can only be demonstrated through measurement
• how Tessl’s tiles improve reliability without bloating context
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.
Check out the article - https://tessl.io/blog/proposed-evaluation-framework-for-coding-agents/
Connect with us here:
1. Maria Gorinova- https://www.linkedin.com/in/mariagorinova/
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 (00:01:08)

3. Challenges and Solutions in AI Agent Coding (00:04:03)

4. Understanding Documentation vs. Rules (00:21:51)

5. Exploring Abstraction Adherence (00:24:11)

6. Baseline and Scenario Testing (00:26:03)

7. Key Results and Future Directions (00:29:03)

84 episodes

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