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OpenAI Codex lead on the new shape of product work | Andrew Ambrosino

Overview

Shownote

Highlights

Transcript

Chapters

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OpenAI Codex lead on the new shape of product work | Andrew Ambrosino

Lenny's Podcast: Product | Career | Growth

Jun 28
Lenny's Podcast: Product | Career | Growth

Lenny's Podcast: Product | Career | Growth

Jun 28
OverviewShownoteHighlightsTranscriptChaptersPins

Shownote

Andrew Ambrosino leads development of the Codex desktop app at OpenAI. Nearly 100% of OpenAI employees—not just engineers—now use Codex weekly. A lifelong builder with a background spanning engineering, design, product management, and founding companies, h...

Highlights

Andrew Ambrosino, who leads development of the Codex desktop app at OpenAI, discusses how AI is fundamentally reshaping product development. He argues that the most valuable skill in an AI-first workplace is no longer implementation, but 'taste'—the ability to curate, direct, and make strategic decisions. The conversation explores how this shift is collapsing traditional roles, changing team structures, and creating new challenges for planning and design.
00:00
Taste, not implementation, is now the most valuable skill.
02:33
Implementation is cheap, curation is expensive
09:18
Taste is emerging as the most valuable skill across all fields.
10:26
Taste involves deciding what to build and how it fits into a larger system
12:06
Design is harder to grade than code
16:18
The process was always flawed.
21:35
Roles are defined by the average of their work, not strict boundaries.
23:41
Eliminating roles discards valuable best practices.
29:55
Hire product-minded engineers to avoid full team reviews.
30:13
The most valuable person is someone who can take an idea from concept to completion with high taste and agency.
31:38
Product success depends on model timing, not feature shape.
35:17
A feature's success depends on timing and model intelligence.
38:13
Bottom-up exploration enables disruptive innovations
39:19
The key question is supervised vs. unsupervised development.
46:52
Codex used computer use to automate the setup by clicking through the interface
51:32
Designing for both beginners and power users is a challenge.
52:06
Codex's value spans both developer and general knowledge work.
57:20
Be more ambitious with AI and just try things.
1:00:30
Micro-failures shaped the product
1:01:52
The Big Orange Splot has a great anti-HOA message.
1:09:35
Found product-market fit for his role.

Chapters

Introduction to Andrew Ambrosino
00:00
How AI is changing the shape of product work
02:30
When to use documents vs. prototypes
06:32
What “taste” actually means
10:25
Why AI is still bad at design
12:06
Is the design process really dead?
16:18
What the design process looks like on the Codex team
21:35
Are product functions disappearing?
23:41
Team structure
27:22
IC vs. management
30:12
Planning roadmaps
31:37
Building features that don’t work yet
35:16
The ambition problem: when you’re too AGI-pilled
38:13
The latest frontier: loops and autonomous development
39:17
The power of computer use and browser automation
46:52
Will we run all our SaaS apps inside Codex?
49:10
How Andrew uses Codex to automate his entire job
52:05
The videographer who built a Premiere Pro extension with Codex
57:20
Failure corner
59:30
Lightning round
1:01:50
BTS: How our producer uses Codex for editing
1:07:03

Transcript

Andrew Ambrosino: 90% of people at OpenAI use Codex. Not 90% of engineers, that's 90% of the entire company. Lenny Rachitsky: You had this tweet the other day where you said that you intend to make Codex the best desktop app that has ever existed. Andrew...