🤖 AI Summary
Manus 1.5 transforms AI agents from coding assistants into autonomous full‑stack builders that can go from a single prompt to deployed web apps (front end, auth, DB, analytics, custom domains) in minutes. That velocity — many thousands of short‑lived, schema‑evolving apps per tenant with bursty OLTP, analytics and semantic workloads — breaks assumptions of traditional databases: manual provisioning, long maintenance windows and ETL pipelines become bottlenecks when agents spin up, branch, iterate and retire apps continuously.
TiDB X is presented as the data layer designed for this agentic world. Its serverless design decouples compute from object‑store backing so new databases and lightweight clusters appear in seconds and scale elastically; copy‑on‑write branching gives instant, Git‑like snapshots for safe experiments; online DDL supports schema evolution without downtime; and a unified HTAP query engine folds OLTP, analytics, vector similarity and knowledge‑graph queries into one platform to avoid brittle ETL. Cost and reliability are managed via RU (Request Unit) metering and auto‑scaling, letting platforms cap noisy queries and feed efficiency signals back to agents. The net effect: agents can iterate aggressively while preserving isolation, fresh analytics, predictable latency and observable costs.
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