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SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

People often claim prompt engineering is dead with each new model release, but it continues to be relevant and effective.

Video

LP

AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff

@ Lenny's Podcast

AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff

06/19/25

Related Takeaways

ZW

Zack Witten

09/06/24

@ Anthropic

The engineering aspect of prompt engineering comes from the ability to experiment and iterate on prompts without interference, allowing for systematic improvements.

LQ

Lin Qiao

05/19/25

@ Sequoia Capital

Many app developers currently rely on off-the-shelf models, but infusing product knowledge into these models through prompt engineering is a new and necessary skill.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

The two modes of prompt engineering are conversational, where prompts evolve through interaction, and product-focused, where prompts are critical to product functionality.

ZW

Zack Witten

09/06/24

@ Anthropic

Prompt engineering is about getting the model to perform tasks effectively by clear communication and understanding the model's psychology.

AA

Amanda Askell

09/06/24

@ Anthropic

A good prompt engineer must communicate clearly, iterate on prompts, and anticipate potential misinterpretations by the model.

A

Anthropic Cast

09/06/24

@ Anthropic

A good prompt engineer should be able to step back from their own knowledge and communicate the necessary information clearly to the model.

YC

Y Combinator Cast

02/09/24

@ Y Combinator

Developer tools for prompt engineering are gaining traction, allowing users to chain prompts and test their effectiveness, which is appealing to college students experimenting with AI.

SA

Sam Altman

04/06/25

@ Varun Mayya

New job categories will emerge, such as prompt engineering, which didn't exist before AI advancements.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

In prompt engineering, it's crucial to provide examples of desired outputs, as this helps the AI reason through complex tasks and improves the overall quality of its responses.