Cutting AI coding token costs, with Dave Slutzkin

from Applied Wizardry Hosted by Yaniv Bernstein

Dave Slutzkin, co-founder of Antiburn, joins Yaniv to break down what actually drives token costs in agentic development and how to bring them down. They cover how caching differs between Anthropic and OpenAI, when to reach for which model and thinking mode, and why the habit of compaction matters more than any other optimisation. If you're spending real money on AI-assisted development, you'll come away with concrete tactics for cutting token burn without cutting capability.

Episode details come from the podcast's RSS feed.

Embed this episode

Attribution link and audio player

Ready to play

Cutting AI coding token costs, with Dave Slutzkin

0:00 59:27

No transcript yet.

Requests help us decide what to transcribe next.

Share this episode

Similar podcasts

Women in Data Science Worldwide Professor Margot Gerritsen, Chisoo Lyons Leading women in data science share their work, advice, and lessons learned along the way. Hear how data science is being applied and having impact across domains— from healthcare to finance to climate change and more. Join our community: community.widsworldwide.org.

Frequently asked questions

How long is this episode of Applied Wizardry?

This episode is 59 minutes long.

When was this Applied Wizardry episode published?

This episode was published on October 15, 2026.

Can I download this Applied Wizardry episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.