Leading AI coding & agent platforms use CloudBase as their backend foundation Set up CloudBase with one sentence Send this line to your AI coding tool — it handles the rest Works with CodeBuddy, Cursor, Claude, Copilot and other mainstream AI coding tools Why do you always get stuck right after the code is done ? It's not that you can't write the code — environment setup, resources, deployment, and ops together are enough to drag a perfect demo into endless delay. You've probably run into at least one of these: Environments built from scratch, every time Database, storage, auth... AI finishes the code, then gets stuck because the environment isn't set up yet. Deployment needs a dozen skills SSH, domains, certificates, servers — agents don't know any of this, and errors hit the moment they try. Re-integrating an SDK for every platform One SDK for Mini Program, one for Web, one for Node — every new framework means retracing the same pitfalls. WeChat capabilities don't plug into AI Login, payments, messaging — these native WeChat capabilities are hard to fit into an AI workflow. Launch is only the beginning Scaling, monitoring, alerts, rollbacks — ops is a whole new pile of work, and the demo never quite makes it past rehearsal. One backend, covering 12 dev frameworks & runtimes Fold the "last mile" into one platform Database , storage , auth , functions , hosting , AI — all ready out of the box, sharing one identity and one SDK. AI provisions it in one step; you just write the business logic. Database · Dual Engine Cloud Functions & Cloud Run AI Capabilities Same task, CloudBase cuts out most of the detours for AI Source: docs.cloudbase.net/solutions/vibe-coding-platform/vm-vs-cloudbase-comparison (model: glm-5.0) Traditional VMs fail 50% of the time; CloudBase has zero SSH exposure risk , with HTTPS + platform signature verification. Your AI IDE can already run the backend MCP · Skills · Plugin, one setup. WorkBuddy, Kimi, ZCode, Codex, Cursor, and other mainstream AI coding environments work out of the box. Tell the AI to use CloudBase like this Paste into your AI IDE Say this to the AI From CLI to SDK, the full chain, connected Whether you prefer CLI, MCP, Skills, or SDKs in any language, CloudBase has an entry point for you — AI and human developers share the same interface. More in the Developer Hub .

Build your own agent — kernel included out of the box. Multi-turn conversations, session persistence, and tool calling are all built in, compatible with the Claude Agent SDK ecosystem. Official Tencent Cloud SDK · one line with envId connects to CloudBase resources; sessions and files live in your own environment. State-graph engine that explicitly orchestrates multi-step & conditional flows The broadest open-source AI framework — compose tools freely Multi-agent collaboration — split a team into role-based sub-agents Orchestrate workflows and trigger webhooks from code Leading agent platforms, already running on CloudBase The cloud is becoming the software production line for agents · Read the WAIC talk For product managers, founders, and independent developers — generates deliverable full-stack projects, from writing code to one-click deployment. Generate an installable app from one sentence; each app is automatically bound to its own environment and database for environment-level isolation. Each project gets its own PostgreSQL instance; MCP deploys HTTPS services in one click, turning conversations into running apps. Native WeChat capabilities, no extra auth required Jointly launched by Tencent Cloud and the WeChat Mini Program team. Mini Programs use cloud calls to access WeChat's open capabilities with no extra auth, and cloud functions get OPENID automatically via wx-server-sdk . Develop once, run everywhere. See WeChat Mini Program AI Solution · Authentication . Auth-free cloud calls Mini Programs call WeChat login, payment, messaging, and other open capabilities directly — no need to build your own auth service or manage token flows. OPENID obtained automatically Cloud functions get user identity automatically via wx-server-sdk — secure and trusted, eliminating the frontend parameter-trust problem. Develop once, run everywhere Mini Program / Official Account / Web / mobile share one backend and one dataset, with native SSE / WebSocket real-time support. Simple, transparent plans, metered by resource points From free trial to enterprise collaboration, the same backend capabilities upgrade as you need them. 1,000 resource points ≈ ¥1. Learning, prototyping, and core capability exploration Independent developers and small production projects Primary plan for commercial projects Enterprise collaboration, governance, and higher service tiers Join the community Discuss CloudBase and AI app development with developers — feedback and feature requests live here. The whole toolchain is open source CloudBase's SDKs, CLI, MCP, AI Toolkit, and app templates are all open source on GitHub and CNB. Going global has just begun — come be one of the first contributors. Let AI take the code, and actually ship it Install CloudBase Skills, tell AI one sentence, and let the platform handle environment, configuration, and deployment.