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Tenex founders discuss output pay and an AI-native SDLC

Original title: AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess

Latent Space ()16 min read3 · 3 reads
AI summary · x-ai/grok-4.7Summaries by Vani AI

Tenex has grown to 75 people serving Fortune 2000 and mid-market customers, with MetaHarness storing plans in Git.

Alex Lieberman and CJ Hess discussed Tenex’s output-based engineering pay and how that model changes as models do more coding. Tenex checks plans and decisions into Git through MetaHarness so agents can see why work was built. The interview also revisits Kill My SaaS, where 72 submissions sought to replace speaker-management software quoted at $43,000 a year. Human judges and an AI judge ranked the winning team differently.

Key facts
  • Story points remain part of Tenex engineering compensation.
  • The human-judged winner ranked 19th on the AI judge’s leaderboard.
  • Lieberman argues ripping out established enterprise systems grows costlier upmarket.
  • Hess says more time now goes to giving models customer context.
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From the original article

16 min read at latent.space

Listen now (44 mins) | Paying for outcomes, building with agents, and the last mile of enterprise AI adoption

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.