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Episode Details
EPISODE INFO
- Released
- June 24, 2026
- Duration
- 27m
- Channel
- How I AI
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
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:*
- What “open-weight” actually means and why it matters for cost and vendor independence
- How to connect GLM 5.2 to Cursor and Claude Code
- How it performs on codebase exploration and autonomous architecture summarization in a real production Next.js app
- Whether GLM 5.2 can match an existing design system
- How the model handles a 45-minute long-running autonomous task
- Where GLM 5.2 stumbled
- The actual cost breakdown
*Brought to you by:* Mercury—Radically different banking loved by over 300K entrepreneurs: https://mercury.com/ *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 *Blog and detailed workflow walkthroughs from this episode:* GLM 5.2: A Live Review of an Opus-Level Open-Weights Model: https://www.chatprd.ai/how-i-ai/glm-5-2-review-open-weights-model ↳ How to Deploy an Autonomous AI Agent for Bug Triage and Prioritization: https://www.chatprd.ai/how-i-ai/workflows/how-to-deploy-an-autonomous-ai-agent-for-bug-triage-and-prioritization ↳ How to Perform an AI-Powered Codebase Audit and Architecture Visualization: https://www.chatprd.ai/how-i-ai/workflows/how-to-perform-an-ai-powered-codebase-audit-and-architecture-visualization ↳ How to Configure the Open-Weight GLM 5.2 Model in Cursor: https://www.chatprd.ai/how-i-ai/workflows/how-to-configure-the-open-weight-glm-5-2-model-in-cursor *Tools referenced:*
- z.ai: https://z.ai
- GLM 5.2: https://z.ai/blog/glm-5.2
- OpenRouter: https://openrouter.ai
- Cursor: https://cursor.com
- Claude Code: https://docs.anthropic.com/en/docs/claude-code
- Sentry: https://sentry.io
- Vercel: https://vercel.com
Other references:
- SWE-Bench Pro leaderboard (coding benchmark scores referenced in episode): https://www.swebench.com
- Frontier Suite and Post-Train Bench (additional benchmarks cited): https://scale.com/leaderboard
- Use Claude Code with OpenRouter: https://openrouter.ai/docs/cookbook/coding-agents/claude-code-integration
*Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo _Production and marketing by https://penname.co/_ _For inquiries about sponsoring the podcast, email jordan@penname.co._
SPEAKERS
Claire Vo
hostAI content creator and host of the “How I AI” show.
EPISODE SUMMARY
In this episode of How I AI, featuring Claire Vo, GLM 5.2 is SO GOOD (and almost free) explores Testing GLM 5.2 as low-cost Opus alternative in coding GLM 5.2 is presented as an open-weight, text-only model with modern tooling features (reasoning mode, function calling, caching, structured output) and a 1M-token context window.
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