DB9

DB9 is the cloud-native distributed database project 东旭 / Dongxu describes building mostly by himself in E249｜Token经济转点：OpenClaw、Hermes到本地自研的Agent进化之路. The source uses it as a concrete case for high-intensity Token Maxxing: Dongxu says he once spent hundreds of dollars per day on model use while completing a complex software project over several months.

The project’s wiki relevance is not a full technical evaluation of DB9. It is a cost-accounting example: if an AI-assisted engineering project can plausibly create large business value, expensive frontier-model use may be rational; if the work is repetitive, lower-risk, or easier to verify, Token Efficient Agent Workflow and Model Routing Cost Control become the better frame.

Connections

• 东旭 / Dongxu — builder and source speaker.
• PingCAP and TiDB — database-company background that shapes the source’s software-engineering lens.
• Token Maxxing, AI Inference Cost Structure, and Token Efficient Agent Workflow — cost and routing concepts illustrated by the project.
• AI Coding Verification and AI Engineering Thinking — engineering-quality disciplines needed for high-value AI coding work.