“Engineers are becoming sorcerers” | The future of software development with OpenAI’s Sherwin Wu (1h 20m)

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• Release date: 2026-02-12
• Listen on Spotify: Open episode
• Episode description:

  Sherwin Wu leads engineering for OpenAI’s API platform, where roughly 95% of engineers use Codex, often working with fleets of 10 to 20 parallel AI agents.We discuss:What OpenAI did to cut code review times from 10-15 minutes to 2-3 minutesHow AI is changing the role of managersWhy the productivity gap between AI power users and everyone else is wideningWhy “models will eat your scaffolding for breakfast”Why the next 12 to 24 months are a rare window where engineers can leap ahead before the role fully transforms—Brought to you by:DX—The developer intelligence platform designed by leading researchersSentry—Code breaks, fix it fasterDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Episode transcript: https://www.lennysnewsletter.com/p/engineers-are-becoming-sorcerers—Archive of all Lenny's Podcast transcripts:https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Sherwin Wu:• X: https://x.com/sherwinwu• LinkedIn: https://www.linkedin.com/in/sherwinwu1—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Sherwin Wu(03:10) AI’s role in coding at OpenAI(06:53) The future of software engineering with AI(12:26) The stress of managing agents(15:07) Codex and code review automation(19:29) The changing role of engineering managers(24:14) The one-person billion-dollar startup(31:40) Management lessons(37:28) Challenges and best practices in AI deployment(43:56) Hot takes on AI and customer feedback(48:57) Building for future AI capabilities(50:16) Where models are headed in the next 18 months(53:35) Business process automation(57:22) OpenAI’s ecosystem and platform strategy(01:00:50) OpenAI’s mission and global impact(01:05:21) Building on OpenAI’s API and tools(01:08:16) Lightning round and final thoughts—Referenced:• Codex: https://openai.com/codex• OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• OpenClaw: https://openclaw.ai• The creator of Clawd: “I ship code I don’t read”: https://newsletter.pragmaticengineer.com/p/the-creator-of-clawd-i-ship-code• The Sorcerer’s Apprentice: https://en.wikipedia.org/wiki/The_Sorcerer%27s_Apprentice_(Dukas)• Quora: https://www.quora.com• Marc Andreessen: The real AI boom hasn’t even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• Sarah Friar on LinkedIn: https://www.linkedin.com/in/sarah-friar• Sam Altman on X: https://x.com/sama• Nicolas Bustamante’s “LLMs Eat Scaffolding for Breakfast” post on X: https://x.com/nicbstme/status/2015795605524901957• The Bitter Lesson: http://www.incompleteideas.net/IncIdeas/BitterLesson.html• Overton window: https://en.wikipedia.org/wiki/Overton_window• Developers can now submit apps to ChatGPT: https://openai.com/index/developers-can-now-submit-apps-to-chatgpt• Responses: https://platform.openai.com/docs/api-reference/responses• Agents SDK: https://platform.openai.com/docs/guides/agents-sdk• AgentKit: https://openai.com/index/introducing-agentkit• Ubiquiti: https://ui.com...References continued at: https://www.lennysnewsletter.com/p/engineers-are-becoming-sorcerers—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.

Summary

• 🚀 Codex Dominates OpenAI Engineering: 95% daily usage and 100% PR reviews boost output by 70%+ for power users, turning code writing into agent orchestration.
• 🧙 Engineers as AI Wizards: Managing fleets of agents feels like casting spells, but requires vigilance to avoid Sorcerer’s Apprentice chaos.
• 💥 Startup Ecosystem Explosion: One-person unicorns spawn B2B SaaS boom, enabling millions in small exits over VC mega-deals.
• 🔮 Build for Future Models: Scaffolding gets obsolete fast; design for capabilities 80% there today to explode with improvements.
• 🌊 Platform for Humanity: OpenAI fosters ecosystem with neutral API, apps store, and all models available to spread AGI benefits widely.

Insights

• How has AI coding tools like Codex revolutionized productivity at elite engineering teams?

  Time: 3:34 – 5:03

  Category: AI in Workforce Disruption

  Answer: At OpenAI, 95% of engineers use Codex daily, 100% of PRs are reviewed by it, and heavy users open 70% more PRs with the gap widening. This shifts focus from writing code to higher-leverage tasks, making software engineering more fun and efficient. (Start at 3:34)

• Are software engineers becoming wizards managing fleets of AI agents?

  Time: 7:20 – 11:41

  Category: AI in Workforce Disruption

  Answer: Engineers now oversee 10-20 parallel AI threads, steering agents like spells from a 1980s programming textbook metaphor, akin to the Sorcerer’s Apprentice. This high-leverage role requires seniority to prevent agents from going off the rails. (Start at 7:20)

• How is AI empowering managers to lead larger, higher-performing teams?

  Time: 19:36 – 24:06

  Category: AI in Workforce Disruption

  Answer: Top performers supercharge with AI, widening productivity gaps, so focus 50%+ time unblocking them like surgeons with support staff; tools enable larger spans (beyond 6-8) via research on perf reviews and blockers. (Start at 19:36)

• What second- and third-order effects will one-person billion-dollar startups unleash?

  Time: 24:30 – 27:43

  Category: AI-Driven Innovation Economy

  Answer: Enabling solo mega-startups could spark a boom in small B2B SaaS firms building bespoke tools, leading to thousands of $10M businesses and reshaping VC by favoring micro-companies over venture-scale unicorns. This democratizes entrepreneurship via AI leverage. (Start at 24:30)

• Why do many AI deployments yield negative ROI despite hype?

  Time: 37:53 – 43:57

  Category: AI Literacy & Public Awareness

  Answer: Top-down mandates without bottom-up adoption fail as non-tech workers lack understanding, unlike successful cases with tiger teams of excited technical-adjacent evangelists sharing best practices. Silicon Valley bubbles overlook real-world workflow nuances. (Start at 37:53)

• Should builders ignore customer pleas for better scaffolding in fast-evolving AI?

  Time: 44:05 – 50:10

  Category: AI-Driven Innovation Economy

  Answer: Models rapidly ‘eat’ tools like vector stores and agent frameworks, disrupting themselves; listening blindly traps you in local maxima. Balance feedback with trends, as ‘this is the worst models will ever be.’ (Start at 44:05)

• Will longer coherent tasks and native audio unlock new AI product paradigms?

  Time: 50:16 – 53:34

  Category: AI-Driven Innovation Economy

  Answer: Models approach multi-hour engineering tasks at 50% success, trending toward day-long autonomy; audio/multimodal advances target enterprise voice workflows, shifting from minute-scale interactions. (Start at 50:16)

• What underrated AI frontier lies in automating repetitive business processes?

  Time: 53:40 – 57:23

  Category: AI in Everyday Life

  Answer: Outside tech’s open-ended work, most jobs follow SOPs in operations/support; AI excels at deterministic, integrated tasks with enterprise data, transforming non-tech economies more than coding. (Start at 53:40)

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