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SW

Scott Wu

05/04/25

@ Lenny's Podcast

Cognition went through eight pivots before landing on the current approach with Devon, highlighting the iterative nature of developing AI tools.

Video

LP

Inside Devin: The AI engineer that's set to write 50% of its company’s code this year | Scott Wu

@ Lenny's Podcast

Inside Devin: The AI engineer that's set to write 50% of its company’s code this year | Scott Wu

05/04/25

Related Takeaways

SW

Scott Wu

05/04/25

@ Lenny's Podcast

Cognition went through eight pivots before landing on their current approach with Devin, highlighting the iterative nature of product development.

SW

Scott Wu

05/04/25

@ Lenny's Podcast

Cognition's approach to AI emphasizes the need for continuous learning and adaptation to keep pace with rapid technological advancements.

SW

Scott Wu

05/04/25

@ Lenny's Podcast

Cognition's team emphasizes the importance of building a product that not only meets current needs but also anticipates future demands in AI.

YC

Y Combinator Cast

09/22/23

@ Y Combinator

An iterative approach is essential in working with AI; continuously debugging and refining prompts can lead to more reliable outcomes.

SA

Sam Altman

04/12/25

@ TED

The iterative process of deploying AI systems, gathering feedback, and learning is crucial for building safe systems as we advance into more complex AI.

YC

Y Combinator Cast

05/23/25

@ Y Combinator

The interaction model for building AI tools should be iterative, where users and developers collaborate to refine system prompts.

SW

Scott Wu

05/04/25

@ Lenny's Podcast

The development of AI tools like Devin is not just about coding but also about understanding the complexities of real-world engineering.

YC

Y Combinator Cast

01/16/25

@ Y Combinator

Pivoting to an AI idea without a unique approach or deep customer insights is unlikely to succeed.

SW

Scott Wu

05/04/25

@ Lenny's Podcast

Cognition encourages feedback from users to continuously improve the Devin product and its capabilities.