低代码平台的下半场:AI 原生时代的重新定义

Low-Code Platforms Second Half: Redefined in the AI-Native Era

| iDev Research | 2026-07-30T09:00:00

分析低代码平台如何在AI原生时代重新定位,从拖拽式编程演进为AI驱动的应用生成平台。

Analyzing how low-code platforms are repositioning in the AI-native era, evolving from drag-and-drop programming to AI-driven application generation platforms.

低代码的转折点传统低代码平台(如 OutSystems、Mendix)正面临来自 AI 编程工具(如 Cursor、Claude Code)的挑战。当 AI 能直接生成代码时,"拖拽"模式的价值被重新审视。市场数据据 Forrester 2026 Q2 报告:传统低代码平台增速放缓至 15%(2024年为35%)AI 原生开发平台增速达到 120%68% 的企业 IT 决策者认为"AI生成代码"将在3年内取代传统低代码新一代 AI-Native 低代码头部厂商正在转型:自然语言描述 → 应用生成:用文字描述需求即可生成完整应用截图 → 代码:上传UI设计稿直接生成前端代码数据驱动:连接数据源后自动推荐应用模式持续优化:AI 根据用户行为数据自动优化应用性能和体验iDev 的观点我们认为低代码不会消失,而是会演变为"AI辅助的应用组装平台"。核心价值从"降低编码门槛"转变为"加速业务迭代"——AI 生成初版,人工精调和编排。


The Turning Point for Low-CodeTraditional low-code platforms (like OutSystems, Mendix) face challenges from AI coding tools (like Cursor, Claude Code). When AI can directly generate code, the value of "drag-and-drop" paradigm is being reassessed.Market DataAccording to Forrester's 2026 Q2 report:Traditional low-code platform growth slowed to 15% (vs 35% in 2024)AI-native development platform growth reached 120%68% of enterprise IT decision-makers believe "AI-generated code" will replace traditional low-code within 3 yearsNext-Generation AI-Native Low-CodeLeading vendors are transforming:Natural Language → Application Generation: Describe requirements in text to generate complete applicationsScreenshot → Code: Upload UI designs to directly generate frontend codeData-Driven: Automatically recommend application patterns after connecting data sourcesContinuous Optimization: AI automatically optimizes application performance and UX based on user behavior dataiDev's PerspectiveWe believe low-code won't disappear but will evolve into "AI-assisted application assembly platforms." The core value shifts from "lowering coding barriers" to "accelerating business iteration" — AI generates the first version, humans fine-tune and orchestrate.

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