The article details how a live‑streaming data team built an AI‑assisted, metric‑driven system that lets users describe a real‑time data task in under 200 characters, automatically generates DSL and Flink SQL, and supports safe incremental adjustments via a Hook protocol, cutting development time from days to minutes.
The OpenTelemetry Go Compile‑Time Instrumentation project, jointly launched by Alibaba Cloud and Datadog, fills the last observability gap for Go by injecting tracing and metrics code at build time, offering zero‑code instrumentation, no runtime overhead, and seamless CI/CD integration while comparing it with manual and eBPF approaches.
AgentScope 2.0.3 introduces a Skills layer that lets teams attach reusable, versioned work templates to AI assistants without writing code, separating business logic from runtime control, enabling fine‑grained governance, high‑concurrency isolation, task‑based execution, and robust observability for production‑grade deployments.
OpenTelemetry eBPF Instrumentation (OBI) embeds a kernel‑level, zero‑code probe that automatically captures network traffic, RPC, database, message‑queue and GPU operations across Go, Java, Python, Node.js and .NET, generating standard OpenTelemetry traces and metrics without modifying application code.
CVEvolve, a no‑code autonomous agent framework from ANL, leverages large‑language‑model agents to discover, evaluate, and iterate scientific image‑processing algorithms without any programming, and demonstrates superior performance on X‑ray fluorescence registration, Bragg‑peak detection, and diffraction‑image segmentation compared with traditional baselines.
Enterprises with hundreds of RESTful APIs often cannot expose them to AI agents, not because models are weak but because tool integration is cumbersome; the article shows how the MCP Gateway enables zero‑code conversion of existing interfaces, centralizes authentication, logging, and protocol translation, and supports multi‑backend scenarios for seamless AI ecosystem access.
Alibaba’s Meoo is a zero‑code AI tool that claims to turn a natural‑language idea into a complete front‑ and back‑end web application in about a minute, using four domestic large models, a swarm‑Agent architecture, and deep integration with Alibaba Cloud, while offering dramatic time‑saving compared to traditional development.
The author details a hands‑on, zero‑code experience using the open‑source Testhub platform to design, execute, and report a full e‑commerce checkout workflow in under an hour, highlighting element management, visual case orchestration, one‑click execution, debugging features, and practical recommendations for teams.
This article shows how small and medium‑sized manufacturers can create a zero‑code, data‑integrated supply‑chain visualization dashboard in just two hours, using low‑cost tools that automatically sync orders, inventory, and shipments, improve decision‑making, and eliminate manual data handling.
This article explains how BaikalDB leverages the Model Context Protocol to let large language models query and analyze its distributed database without writing any code, detailing the protocol’s principles, server components, transport methods, tool capabilities, use cases, configuration, and future challenges.
This tutorial walks you through a complete, zero‑code workflow using Tongyi Lingma to import, clean, visualize, and automatically generate a data analysis report—and even create AI‑driven content based on the insights.
This guide explains how the open‑source MCP protocol from Anthropic, now offered as a full‑lifecycle service on Alibaba Cloud Bailian, lets you quickly create a plug‑and‑play AI agent that integrates large models with external tools such as maps and weather APIs, all in under five minutes.
This guide shows how to use the lightweight OpenStation platform to install, configure, and launch the DeepSeek‑R1 large‑model on a personal server in under 15 minutes, covering zero‑code deployment, resource management, inference engine selection, and integration with CherryStudio.
This article explains how to upgrade an existing low‑code platform to a zero‑code solution, enabling backend engineers and non‑technical users to build pages effortlessly by defining component schemas, using templates, and automating interface integration.
This guide explains how to use Alibaba Cloud's MSE Sentinel to protect microservice stability by configuring runtime flow‑control and degradation rules for any method—without writing additional code—covering background, scenarios, annotation and SDK approaches, rule configuration, and monitoring results.
This article details Sugar BI’s end‑to‑end technical architecture, covering its AI‑enhanced visual analytics, zero‑code report building, multi‑source data integration, smart chart recommendation, and voice interaction, while illustrating the underlying big‑data and cloud components that power the platform.
