AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
Alex Lieberman and CJ Hess join swyx at AI Engineer New York to discuss Tenex’s approach to AI-native engineering, paying for outcomes, MetaHarness, enterprise AI adoption and rebuilding SaaS. Show notes: Tenex: https://www.tenex.co/ Building an AI-native SDLC: https://www.tenex.co/blog/building-an-ai-native-sdlc…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Latent Space: The AI Engineer Podcast
See all episodes →
64%🔬Scaling Past Informal AI - Carina Hong, Axiom Math
60%Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora
57%Why Agents Love Supabase
Similar episodes from other shows
More like Latent Space: The AI Engineer Podcast →
How OpenAI Built Its Coding Agent
How to build your own AI developer tools with Claude Code | CJ Hess (Tenex)
AI trends: a Latent Space crossover
29%86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.