1403.9萬/月+0.5%
用一句話描述就能打造可用的應用、網站與 AI 代理
免費增值、付費、需聯絡報價
載入中…
20,346 款已收錄產品·流量趨勢與工具探索
少走冤枉路， 找到適合下一個專案的 AI 工具。
涵蓋 459 類工作流程，透過流量估算、產品功能與替代方案協助選擇。
涵蓋 459 類工作流程，透過流量估算、產品功能與替代方案協助選擇。
“Backend Development” · 程式設計與開發·317 個結果
重新開始用一句話描述就能打造可用的應用、網站與 AI 代理
Xano is a backend platform for building, running and governing apps, APIs and MCP servers. You can design server-side logic visually, in XanoScript or with coding agents such as Claude, Cursor and ChatGPT, then test, deploy and observe everything on managed Postgres and Kubernetes infrastructure.
Xano is a backend platform for building, running and governing apps, APIs and MCP servers. You can design server-side logic visually, in XanoScript or with coding agents such as Claude, Cursor and ChatGPT, then test, deploy and observe everything on managed Postgres and Kubernetes infrastructure.
在 AI 對話中打造並發佈真正的網頁與行動應用程式
描述你需要的軟體，Blink 直接幫你打造並架站
在對話中描述應用，直接上線
Workik is an AI development platform that captures the context behind engineering tasks and turns it into plans, code, tests, and documentation. Connect your repositories, databases, and project knowledge, then let Workik AI assist across planning, debugging, testing, and codebase documentation.
Workik is an AI development platform that captures the context behind engineering tasks and turns it into plans, code, tests, and documentation. Connect your repositories, databases, and project knowledge, then let Workik AI assist across planning, debugging, testing, and codebase documentation.
描述你的想法，即可獲得真實程式碼建構的應用、網站或工具
用對話生成全端網頁應用，接著一鍵部署上線。
描述一下，就能打造全端 Web 應用
把一句想法變成全端 Web 應用的 AI 應用建構器
Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.
Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.
為全端與 AI 應用打造的自動駕駛式生產雲
