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#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang cover
#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang cover
Let's Talk AI

#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang

#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang

36min |07/11/2025
Play
undefined cover
undefined cover
#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang cover
#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang cover
Let's Talk AI

#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang

#93 - Designing IDEs for the AI Era: Lessons in Feedback, Speed, and Quality | Richard Wang

36min |07/11/2025
Play

Description

The IDE has always been the developer’s command center. But as AI systems mature, the IDE is becoming something far more sophisticated — a hybrid of automation, intelligence, and adaptability.


In this episode, Thomas Bustos and Richard Wang (Clad Labs) dissect the architectural and strategic implications of building AI-powered IDEs. They discuss how real-time feedback loops, adaptive code assistance, and contextual learning models are reshaping both the developer experience and the business of software.


This is a must-listen for engineers, founders, and product builders who want to understand the competitive edge behind AI-driven development tools, and why IDE innovation is the next major battleground for developer productivity.


Top Insights:

  • AI is revolutionizing the coding process for developers.

  • Integrating ads into IDEs can subsidize development costs.

  • User feedback is crucial for product iteration and improvement.

  • The future of coding involves AI-native tools that enhance productivity.

  • Democratizing access to AI tools is essential for global developers.

  • Speed of development should focus on user-centric design.

  • Understanding user workflows is key to building effective tools.

  • The competitive landscape of IDEs is evolving with new approaches.

  • Maintaining a balance between speed and quality is vital in development.

  • The mission is to unlock coding opportunities for everyone.


Connect with Richard Wang


Connect with Thomas Bustos



Hosted on Ausha. See ausha.co/privacy-policy for more information.

Description

The IDE has always been the developer’s command center. But as AI systems mature, the IDE is becoming something far more sophisticated — a hybrid of automation, intelligence, and adaptability.


In this episode, Thomas Bustos and Richard Wang (Clad Labs) dissect the architectural and strategic implications of building AI-powered IDEs. They discuss how real-time feedback loops, adaptive code assistance, and contextual learning models are reshaping both the developer experience and the business of software.


This is a must-listen for engineers, founders, and product builders who want to understand the competitive edge behind AI-driven development tools, and why IDE innovation is the next major battleground for developer productivity.


Top Insights:

  • AI is revolutionizing the coding process for developers.

  • Integrating ads into IDEs can subsidize development costs.

  • User feedback is crucial for product iteration and improvement.

  • The future of coding involves AI-native tools that enhance productivity.

  • Democratizing access to AI tools is essential for global developers.

  • Speed of development should focus on user-centric design.

  • Understanding user workflows is key to building effective tools.

  • The competitive landscape of IDEs is evolving with new approaches.

  • Maintaining a balance between speed and quality is vital in development.

  • The mission is to unlock coding opportunities for everyone.


Connect with Richard Wang


Connect with Thomas Bustos



Hosted on Ausha. See ausha.co/privacy-policy for more information.

Share

Embed

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Description

The IDE has always been the developer’s command center. But as AI systems mature, the IDE is becoming something far more sophisticated — a hybrid of automation, intelligence, and adaptability.


In this episode, Thomas Bustos and Richard Wang (Clad Labs) dissect the architectural and strategic implications of building AI-powered IDEs. They discuss how real-time feedback loops, adaptive code assistance, and contextual learning models are reshaping both the developer experience and the business of software.


This is a must-listen for engineers, founders, and product builders who want to understand the competitive edge behind AI-driven development tools, and why IDE innovation is the next major battleground for developer productivity.


Top Insights:

  • AI is revolutionizing the coding process for developers.

  • Integrating ads into IDEs can subsidize development costs.

  • User feedback is crucial for product iteration and improvement.

  • The future of coding involves AI-native tools that enhance productivity.

  • Democratizing access to AI tools is essential for global developers.

  • Speed of development should focus on user-centric design.

  • Understanding user workflows is key to building effective tools.

  • The competitive landscape of IDEs is evolving with new approaches.

  • Maintaining a balance between speed and quality is vital in development.

  • The mission is to unlock coding opportunities for everyone.


Connect with Richard Wang


Connect with Thomas Bustos



Hosted on Ausha. See ausha.co/privacy-policy for more information.

Description

The IDE has always been the developer’s command center. But as AI systems mature, the IDE is becoming something far more sophisticated — a hybrid of automation, intelligence, and adaptability.


In this episode, Thomas Bustos and Richard Wang (Clad Labs) dissect the architectural and strategic implications of building AI-powered IDEs. They discuss how real-time feedback loops, adaptive code assistance, and contextual learning models are reshaping both the developer experience and the business of software.


This is a must-listen for engineers, founders, and product builders who want to understand the competitive edge behind AI-driven development tools, and why IDE innovation is the next major battleground for developer productivity.


Top Insights:

  • AI is revolutionizing the coding process for developers.

  • Integrating ads into IDEs can subsidize development costs.

  • User feedback is crucial for product iteration and improvement.

  • The future of coding involves AI-native tools that enhance productivity.

  • Democratizing access to AI tools is essential for global developers.

  • Speed of development should focus on user-centric design.

  • Understanding user workflows is key to building effective tools.

  • The competitive landscape of IDEs is evolving with new approaches.

  • Maintaining a balance between speed and quality is vital in development.

  • The mission is to unlock coding opportunities for everyone.


Connect with Richard Wang


Connect with Thomas Bustos



Hosted on Ausha. See ausha.co/privacy-policy for more information.

Share

Embed

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