OpenAI Codex lead on the new shape of product work | Andrew Ambrosino
This episode features Lenny Rachitsky and Andrew Ambrosino, product and engineering lead for the OpenAI Codex app. They discuss how AI, particularly Codex, is revolutionizing product development by shifting focus from costly implementation to taste and curation, challenging traditional design processes and product planning. Ambrosino shares insights into Codex's widespread internal use, its vision as a versatile 'home base' for all knowledge work, and the ongoing challenges of AI's capabilities in areas like design and autonomous software development.
- AI tools like OpenAI's Codex have made the actual _building_ of software inexpensive, shifting the biggest cost in product development away from implementation. Read →
- Forget detailed 9-month product roadmaps in AI. Andrew Ambrosino, product and engineering lead for the OpenAI Codex app, says any precision beyond a few months is "false precision" because model capabilities change too fast. Read →
- The traditional "design process proper" is dead. Andrew Ambrosino, product and engineering lead for OpenAI Codex, agrees with this, stating the old process was "predicated on the assumption that implementation is expensive." Read →
- OpenAI's Andrew Ambrosino aims to make Codex the "best desktop app that has ever existed," serving as a central hub for all knowledge work, not just coding. Read →
- OpenAI's Andrew Ambrosino, a product and engineering lead for the Codex app, states that design's subjectivity, driven by human taste, makes it significantly harder for AI to "grade" and learn compared to the binary success of code compilation. Read →