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Published by Yaniv Bernstein
A podcast for engineers and technical founders about how we build with AI: the engineering behind the magic. Hosted by Yaniv Bernstein, a multi-time founder and engineering leader (PhD in computer science, ten years of engineering at Google, VP Engineering and COO at Airtasker, CTO and co-founder of Vera).
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The traditional GitHub-style pull request review is a waste of opportunity cost for most code changes in the agentic era. Yet simply removing it without a replacement invites complexity death spirals and unbounded product behaviour that agents cannot unwind. James McGill and Haziq Nordin join Yaniv to argue that engineers should stop reading diffs line-by-line and instead scan for architectural complexity, shift accountability to spec quality, and build new verification patchworks of end-to-end tests, fuzzing, and product review. The conversation is for any engineer or founder trying to extract real leverage from AI coding tools rather than bottlenecking them with cargo-cult process.
Peter Walker, Head of Insights at OpenRouter and previously at Carta, sees how about 120,000 US organisations use AI models every day. He expected their usage to spread across models. Instead, the typical organisation now uses about 12 models a month, with one daily driver taking most of the tokens and specialists around it. He and Yaniv get into why, in his view, the same model can get opposite reviews depending on who serves it, how cache rates quietly set the bill for agent workloads, why writing quality pushed Yaniv from Claude loyalty to using OpenAI too, and whether open-weight models are falling further behind the frontier. For engineers and founders deciding which models to run in production, it is a map of what actually decides what you get and what you pay.
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.
Applied Wizardry is a podcast for engineers and technical founders about how we build with AI: the tools, the numbers and the trade-offs, practitioner to practitioner. Hosted by Yaniv Bernstein. Episode 1, with Dave Slutzkin of Antiburn, on cutting your token burn, is out 16 October.
Ranking source
Apple Podcasts rankings via the Mato Topic Intelligence Platform.
Observed November 4, 2026.
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