24 juni 2026
27 min
I put GLM 5.2, the open-weight coding model from Z.AI, through four real tasks inside my actual codebase: a codebase architecture audit, a UI redesign, and a 45-minute autonomous bug-hunting session pulling from Sentry and Vercel logs. Total cost: $3.36 for roughly 6 million tokens, a prioritized bug-fix dashboard I’m actually shipping from, and a landing page redesign that matched Chat PRD’s design system on the first try.
What you’ll learn:
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Brought to you by:
Mercury—Radically different banking loved by over 300K entrepreneurs
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In this episode, we cover:
(00:00) What open-weight models are and why GLM 5.2 is worth testing
(01:38) GLM 5.2 model overview
(04:02) Capabilities and benchmark results
(06:02) How to set up GLM 5.2 in Cursor
(08:37) How to set up GLM 5.2 in Claude Code
(11:04) Live test 1: codebase exploration and architecture audit on ChatPRD
(12:43) Live test 2: generating an HTML architecture and roadmap page
(16:37) Live test 3: redesigning the How I AI landing page in Cursor
(20:57) Live test 4: 45-minute autonomous task, pulling Sentry errors and Vercel logs
(22:35) Where it struggled
(23:49) My verdict on the output
(25:23) Cost breakdown
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Tools referenced:
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Other references:
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Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.
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