我们在项目完成46%时进行了审计。结果如下。

📄 中文摘要

在项目完成46.4%时,团队决定暂停开发并进行全面审计,已完成144个任务、交付5个史诗、通过2,633个测试。这一决定并非因故障,而是基于方法论的要求以及对未来6个冲刺的承诺前的真实评估。该项目是一个内容生产平台,涵盖LinkedIn排程、音频叙述、YouTube管道、播客组装及媒体协调引擎(MOE),由一个人和一组AI代理共同管理。技术栈包括TypeScript、SQLite(WAL模式)、Express、React、Vitest和Docker,采用ORCHESTRATE敏捷方法进行管理。

📄 English Summary

We Audited Our AI-Managed Project at 46% Complete. Here's What We Found.

At 46.4% completion, the team paused development to conduct a full audit, having completed 144 tickets, shipped 5 epics, and passed 2,633 tests. This decision was not due to any failures but was in line with the methodology and a desire to assess the truth before committing to 6 more sprints. The project is a content production platform that includes LinkedIn scheduling, audio narration, YouTube pipelines, podcast assembly, and a Media Orchestration Engine (MOE) managed by one person and a team of AI agents. The tech stack consists of TypeScript, SQLite (WAL mode), Express, React, Vitest, and Docker, managed through the ORCHESTRATE Agile methodology.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等