Official account of DaTaobao Technology
This article examines the Cursor coding‑assistant by dissecting its backend architecture, running three practical experiments (a Go hello‑world program, a CUDA flash‑attention code search, and a single‑page to‑do web app), and analyzing why the tool succeeds or fails in real development scenarios.
This article provides an in‑depth technical walkthrough of the iCart shopping‑cart drag‑and‑drop feature, detailing the architecture, grouping rules, collision handling, non‑droppable logic, hover calculations, placement callbacks, performance optimizations, and future improvements for a smooth, stable user experience.
This article explains how to eliminate stuttered text output in iOS chat applications powered by local LLMs using the MNN framework, by introducing a three‑layer optimization—smart stream buffering, UI update throttling with batch processing, and a typewriter‑style animation—to achieve smooth, near‑online responsiveness.
This article explores the emerging field of prompt engineering, detailing its fundamentals, advanced strategies such as chain‑of‑thought, ReAct, and structured frameworks, and demonstrates practical applications in AI agents for data retrieval, SQL generation, and market insight, offering actionable guidance for developers and business users alike.
This article explores how a new AI‑powered workflow combines visual layout detection, design‑system standards, DSL recall, and a custom design‑plugin to turn complex transaction‑page mockups into clean, rpx‑compatible front‑end code in just a few steps, dramatically reducing developer effort and error.
This article examines the rapid evolution of AI-driven web agents in 2025, comparing four leading products—ChatGPT Agent, Fellou, Perplexity Comet, and Dia—through benchmarks, technical architectures, performance metrics, pricing models, and market positioning, offering a comprehensive guide for developers and enterprises seeking intelligent browsing solutions.
This article explains how an intelligent‑agent‑driven adaptive testing system automates the entire test lifecycle—from requirement analysis and case generation to execution and feedback—dramatically improving testing speed, quality, and resource utilization while reshaping the role of test engineers.
Alibaba introduces the ali‑langengine‑dflow framework, a hybrid distributed‑agent architecture that moves core intelligence to the cloud while keeping execution reachable on heterogeneous client devices, addressing data‑isolation, latency and security issues of existing cloud‑VM and local‑agent solutions for 2C internet services.
This article shares a two‑month hands‑on experience with Cursor, detailing how effective prompts, standardized rules, and the MCP tool can significantly improve coding efficiency, while also exploring the limitations of Cursor, the benefits of DeepResearch, AutoGPT, and Claude 4.0 for advanced AI‑driven development workflows.
This tutorial walks you through constructing a lightweight ReAct agent using Java, explaining the Thought‑Action‑Observation loop, providing a 200‑line code example, and demonstrating a real‑world approval workflow with prompts, tool definitions, and step‑by‑step interaction logs.
