Tenex builds AI-native development process for large enterprises
What happened
On October 21, Latent Space reported on Tenex building an AI-native software development lifecycle for Fortune 2000 companies. Alex Lieberman and CJ Hess described paying by output and how MetaHarness fits into the development process. Tenex has grown to 75 people and still uses story points as a key basis for engineer pay, while also needing to value non-coding work such as client communication and architecture design. MetaHarness combines skills, project docs and a CLI, storing plans and decisions in Git alongside code for people and agents to share.
Written by AI from the coverage · updated 3 hours ago
Coverage
Follow the reports to see the story from different sides.
- Latent SpaceAI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
Tenex 的 Alex Lieberman 与 CJ Hess 分享了按产出付酬和用 MetaHarness 构建 AI 原生软件开发生命周期的实践。公司已扩展至 75 人，仍以故事点作为工程师薪酬的重要依据，但需要纳入客户沟通、架构设计等非编码工作的价值；MetaHarness 将技能、项目文档和 CLI 结合，把计划与决策随代码存入 Git，供人与智能体共同使用。
Heat over time
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