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This article introduces Alibaba’s open‑source LowCodeEngine, outlines its browser compatibility, core features, protocol standards, provides installation and initialization code, explains CDN integration options, and showcases the editor’s UI panels and real‑world use cases.
This article compares three leading AI workflow tools—n8n, Dify, and Coze—by examining their origins, technical architectures, core advantages, typical use cases, real‑world case studies, and future deployment trends, helping developers and businesses choose the right "intelligent assistant" for their needs.
The article chronicles Builder.ai's rise on AI‑centric promises, its massive funding from investors like Microsoft and SoftBank, the revelation that its platform relied on manual coding rather than genuine AI, the ensuing legal and financial fallout, and the broader implications for AI‑washing in the low‑code market.
The article details how Youzan’s Store Smart Assistant was built on the Feishu Aily platform, describing why Aily was chosen, the three‑stage development process, deep system integration, practical tips for knowledge‑base management and model stability, and the resulting efficiency gains such as handling 80% of routine queries.
The article presents the Business Parameter Configuration Center (BPCC), a declarative platform that automatically generates front‑end pages and corresponding CRUD services, detailing its layered architecture, core concepts such as elements, dimensions, parameters and schemes, SDK query flow, priority rules, multi‑selection handling, import/export workflow, and outlining scenarios where BPCC is unsuitable.
The article reexamines the controversial middle‑platform model, distilling five years of successes and failures into practical guidance—emphasizing clear domain division, deep decoupling, dedicated tooling and organization, while warning against technical debt and showing how AI‑driven agent platforms can extend its value when built on solid enterprise knowledge.
This article introduces DripTable, an open‑source React‑based low‑code table framework that uses JSON Schema for rapid backend‑admin list creation, outlines its advantages, explains when to adopt it, and provides step‑by‑step installation and usage instructions for both the configuration and application sides.
Model Context Protocol (MCP) is a standard client‑server protocol that enables AI models to access real‑time external data and tools, with detailed explanations of its architecture, practical setup steps, code snippets for Figma integration, and a discussion of current limitations and future prospects.
This article explains how the author leveraged the Cursor AI coding assistant to rapidly prototype a license‑approval workflow system, detailing the project background, required features, technology stack, Cursor’s yolo mode, step‑by‑step usage tips, code examples, and practical reflections on AI‑assisted development.
The article demonstrates how, with Cursor’s AI‑assisted coding and its YOLO mode, a developer can rapidly build a full‑stack license‑approval system—Vue 3 front‑end, Go/Gin back‑end, JWT authentication, MySQL storage—in under a day of effort, highlighting practical tips, limitations, and the broader potential for low‑code creation.
The Cat Ear front‑end team solved the inefficiency of manually coding large‑scale live events by embedding remote low‑code components through a segment‑loader architecture, allowing operations to configure reusable JS/CSS/JSON bundles, cutting code size, accelerating delivery, and enabling rapid hot‑fixes while preserving pro‑code flexibility.
This article shows how a product manager transformed intricate promotion rules—like "spend 300, get 50 off" with exclusions—into a visual, low‑code builder using modular components, natural‑language parsing, safety checks, version control, A/B testing, and collaborative approval flows.
The article presents a graph‑engine‑driven workflow platform that lets developers assemble, orchestrate, and execute intelligent LLM‑based agents with low‑code visual design, fine‑grained path control, hierarchical sub‑flows, and event‑driven hooks, addressing perception, reasoning, planning, and scalability challenges while surpassing existing frameworks.
By leveraging mature graph‑engine technology, the article shows how visual, low‑code workflow orchestration can give intelligent LLM‑based agents fine‑grained path control, reusable functions, hierarchical sub‑flows, and robust error handling, turning complex business tasks into modular, scalable processes adopted by hundreds of thousands of developers.
The article describes the design and development of a low‑code form generation platform built on VueFormMaking, detailing its drag‑and‑drop interface, JSON‑driven component architecture, template configuration and rendering, as well as maintenance practices such as flat configurations, style optimization, testing, and deep‑copy handling for scalability and reliability.
In the AI era, Qunar's front‑end tech director presents how D2C and large‑model‑based code generation dramatically improve front‑end productivity across three business scenarios, achieving up to 55% automated code coverage for both C‑end and B‑end applications.
Bilibili’s Activity Platform low‑code system was completely redesigned over two years, introducing a modular, decoupled architecture with an iframe‑based canvas, unified renderer, and Eva‑CLI tools that cut activity build time from three days to 0.48 days, boosted coverage to 77% of activities, and reduced first‑contentful‑paint by 35%.
The article proposes an AI‑driven front‑end efficiency framework for B2B operation platforms that introduces a JSON‑based protocol layer, SDK, and reusable component library, allowing AI‑generated UI schemas to replace manual coding, dramatically cut development effort, and enable zero‑code, perpetual reuse of UI, logic, and data.
This article introduces a free, low‑code web tool that lets backend developers instantly generate a functional admin‑type frontend UI from database schemas or Java/SQL description files, requiring only minimal configuration and no front‑end coding skills.
By adopting LiteFlow’s lightweight low‑code workflow engine with a workbench‑component‑rule architecture, the team replaced repetitive custom code with configurable pipelines, achieving high decoupling, flexible orchestration, reduced development cost, and improved extensibility for complex business processes, while planning a visual backend platform.