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Meituan revealed that AI now writes 52% of its new code, using its proprietary LongCat model to handle repetitive tasks, while developers still oversee core logic, prompting a shift toward prompt engineering, careful review, and new strategies to avoid technical debt.
Discover the free CodeBuddy “Programming Agent” booklet, which compiles 12 practical articles on AI-driven code generation, covering definitions, functions, implementation methods, use cases, and advantages, and provides links to each tutorial for developers eager to harness intelligent coding assistants.
The article examines how AI can speed up code generation yet fails to reduce the fundamental complexities of software development, shifting challenges to new areas such as prompt engineering, consistency, changeability, and invisibility, and argues that future developers must master AI to manage, not replace, complexity.
The KwaiPilot team released the KwaiCoder‑AutoThink‑preview model, which introduces a novel automatic‑thinking training paradigm and a process‑supervised reinforcement‑learning method called Step‑SRPO, enabling the model to dynamically switch between thinking and non‑thinking modes, reduce inference cost, and achieve up to 20‑point gains on code and math benchmarks while handling large‑scale codebases.
This article shares a step‑by‑step guide on planning, documenting, templating, configuring, and rule‑setting for the Cursor AI coding assistant, showing how thorough preparation transforms it from a source of buggy code into a reliable development partner.
This article introduces the Mybatis-Plus Generator UI, a highly customizable web‑based code generator that wraps Mybatis‑Plus, explains its features, shows how to integrate it via Maven, run a sample main class, configure generation strategies, customize templates and naming rules, and even extend the frontend with Yarn builds.
This article introduces MapStruct, a compile‑time Java bean‑mapping framework, and demonstrates advanced features such as expression‑based mappings, qualifiedByName for custom conversions, nullValueMappingStrategy for handling nulls, and the use of Decorator classes to apply global post‑processing logic.
This guide explains how to install PyQt5, set up Qt Designer, convert .ui files into Python code with pyuic5, and run a basic PyQt5 window, providing step‑by‑step commands, code snippets, and screenshots for a complete GUI development workflow.
The Gemini 2.5 Pro 05‑06 update dramatically improves code‑generation performance, tops the WebDev Arena leaderboard over Claude 3.7 Sonnet, and introduces unique video‑to‑web multimodal abilities, while still facing UI bugs and naming inconsistencies ahead of the upcoming Google I/O conference.
This article introduces Vibe Coding, an AI‑driven programming approach proposed by Andrej Karpathy, explains its core concepts, workflow, advantages, tools, use cases, best practices, and future outlook, and provides a complete example of generating a simple weather app using natural‑language prompts.
This article introduces MyBatis‑Plus, an enhancement for MyBatis, outlining its lightweight features, step‑by‑step setup including database creation, Maven dependency, configuration, entity and mapper definitions, CRUD operations, pagination, optimistic locking, logical deletion, condition wrappers, and code generation utilities for rapid backend development.
This article outlines a comprehensive methodology for integrating AI—particularly large language models—into software development workflows by establishing knowledge‑base templates, rule systems, multi‑model collaboration, context management, and task decomposition to transform AI from a whimsical code generator into a trustworthy engineering partner.
This guide explains how to obtain a token, install MasterGo MCP in Cursor, configure the mcp.json file, and use the provided getDSL and getComponentLink tools to retrieve design canvas DSL and generate front‑end code such as React, Vue, or Flutter components.
An in‑depth guide reviews six leading AI‑driven development tools—including GitHub Copilot, Alibaba Cloud CodeWhisperer, Tabnine, Tencent Hunyuan DevBox, Amazon CodeWhisperer, and CodeGeeX—detailing their core features, use cases, security considerations, and selection advice for Java developers seeking to automate code generation, review, configuration, performance tuning, and documentation.
The 2024‑2025 comparative review evaluates cloud‑based AI development platforms, AI‑native code editors, IDE plugins, and their underlying large language models—detailing features, user experience, pricing, open‑source status, strengths and weaknesses, offering recommendations for UI prototyping, full‑stack projects, and forecasting future multimodal, collaborative AI‑assisted development trends.
This article shares a practical experience of integrating the Cursor AI code assistant into a front‑end development workflow, outlining expectations, the shift from planning to execution, current pain points, a collaborative feedback loop, and concrete scenario applications such as status analysis, change planning, and impact evaluation.
Meta's newly released Llama 4 quickly became a controversy as internal leaks reveal training‑data cheating, benchmark over‑optimization, and disappointing code‑generation performance that fails to match even older models, prompting resignations and widespread criticism from the AI community.
The article explains how integrating the Cursor AI assistant into front‑end development reshapes workflow by separating planning from execution, using iterative context loops for analysis, design, and impact assessment, guiding minimal‑change code generation and testing, and ultimately shifting developer skill from memorizing APIs to asking precise questions.
This article reviews major AI-powered code generation tools—including GitHub Copilot, Amazon CodeWhisperer, Tabnine, Tongyi Lingma, CodeGeeX, Bito, and Codeium—detailing their features, suitable scenarios, installation steps, advantages, cautions, and recommended combinations for individual developers, domestic teams, and cloud projects.
This article introduces a free, online tool that lets backend developers quickly generate complete frontend management pages—such as CRUD interfaces—by uploading database schemas or descriptor files, detailing step‑by‑step usage, configuration options, and code snippets for rapid, no‑code UI creation.