This tutorial walks you through installing Cherry Studio, configuring Baidu and Amap MCP servers with JSON settings, obtaining the required API keys, and using the built‑in AI model to perform route planning, all without writing a single line of code.
This guide shows how to install Cherry Studio, configure multiple AI model providers, and send a single prompt that triggers several models at once, with step‑by‑step screenshots, layout tips, and cost considerations for free and paid services.
Discover the top 15 Python libraries that every data scientist should master, ranging from workflow frameworks like Kedro and low‑code tools such as PyCaret to powerful optimization and monitoring packages, each with brief descriptions and links to explore their capabilities.
JD’s recent technical salon reveals the rapid evolution of large‑model tools, detailing industry trends, JD’s JoyAI ecosystem—including JoyAgent, OxyGent and JoyCode—real‑world applications across office, code review, logistics and local services, and future policy and multi‑agent visions.
JD’s internal technical salon reveals the rapid evolution of large‑model AI tools, outlining design principles, current capabilities like JoyAgent, OxyGent and JoyCode, real‑world applications across office, code review, logistics, and future policy and multi‑agent visions, highlighting their impact on modern workplace productivity.
JD’s internal technical salon reveals the rapid evolution of large‑model AI tools, outlining design principles, current capabilities like JoyAgent, OxyGent and JoyCode, real‑world applications across office, code review, logistics, and policy outlook, while highlighting future multi‑agent and embodied intelligence trends.
In the age of large‑model AI tools, this essay examines hype‑driven predictions, real‑world experiences, and the evolving roles of programmers, urging developers to balance tool adoption with deep system thinking to retain agency over their future careers.
After eight years of using Hexo, I rebuilt my personal blog on Hugo with the Blowfish theme, leveraging GitHub Copilot and ChatGPT to automate migration, add multilingual support, and improve navigation, while weighing the benefits against SEO and data loss trade‑offs.
This comprehensive tutorial walks you through the entire PromptPilot workflow—from initial setup and prompt generation to iterative optimization, visual debugging, batch testing, and intelligent refinement—showcasing how to create high‑quality, production‑ready prompts for AI agents and applications.
This article analyzes how AI‑powered coding tools are reshaping the software industry, presenting rapid growth data, seven under‑discussed conflicts—from product form to pricing models—and the broader implications for developers, enterprises, and the future of programming.
A recent randomized controlled study by the non‑profit AI research group METR found that, contrary to the widely held belief that AI coding tools boost developer speed by about 20%, experienced open‑source developers actually took 19% longer to complete real‑world tasks when using such tools, revealing a gap between perceived and actual productivity gains.
According to the 2025 Stack Overflow Developer Survey of over 90,000 participants, JavaScript remains the top language, PostgreSQL overtakes MySQL as the most popular database, Zig tops the highest‑earning languages, Node.js and React dominate web frameworks, VS Code leads IDE usage, and ChatGPT and GitHub Copilot are the preferred AI tools.
This article explains why prompt engineering is essential for turning large‑language‑model‑driven chatbots into empathetic assistants, outlines a 5W1H framework for designing structured prompts, provides concrete travel‑assistant examples, and shares practical techniques and tools such as Prompt Optimizer to improve RAG reliability.
According to the 2025 Stack Overflow Developer Survey of over 90,000 participants, JavaScript remains the top language, PostgreSQL overtakes MySQL as the most popular database, Node.js leads web frameworks, Visual Studio Code dominates IDEs, while ChatGPT and GitHub Copilot are the preferred AI tools, with developers increasingly trusting AI for coding tasks.
This article reviews a range of coding agents—including VSCode plugins, IDE extensions, command‑line tools, and AI‑driven editors—compares their features, details key implementations such as edit_file, and shares personal reflections on the essential capabilities required for effective coding agents.
Prompt‑Optimizer is an open‑source tool that uses AI models to automatically refine and compare prompts, offering multi‑model support, security features, and cross‑platform access, while providing step‑by‑step Docker deployment instructions for developers and prompt engineers.
The 2025 Stack Overflow Developer Survey of over 90,000 participants highlights JavaScript's continued dominance, PostgreSQL overtaking MySQL as the top database, Zig as the highest‑earning language, and widespread AI tool adoption, while revealing mixed trust levels and expectations of workflow changes within a year.
According to Stack Overflow’s 2025 Developer Survey of over 90,000 participants, JavaScript remains the most popular language, PostgreSQL tops databases, Node.js and React dominate web frameworks, Visual Studio Code leads IDE usage, while ChatGPT and GitHub Copilot are the preferred AI tools, with developers expecting AI to reshape workflows within a year.
The 2025 Stack Overflow Developer Survey, with over 90,000 participants, shows JavaScript remains the most popular language, Zig tops the highest‑earning list, PostgreSQL overtakes MySQL as the leading database, Node.js and React dominate web frameworks, Visual Studio Code is the preferred IDE, and ChatGPT leads AI search tools, while developers anticipate AI reshaping workflows within a year.
The 2025 Stack Overflow Developer Survey of over 90,000 developers reveals JavaScript remains the top language, PostgreSQL overtakes MySQL as the most popular database, Zig tops the highest‑paying languages list, and AI tools like ChatGPT and GitHub Copilot dominate developers' workflows.
In this article, former Baidu executive Jing Kun shares practical advice for students, working professionals, and the unemployed on leveraging AI and AGI tools to boost careers, start side projects, and turn the AI revolution into personal opportunity.
The article outlines the core competencies of a next‑generation GenAI application engineer—rapid modular AI development, leveraging AI‑assisted coding tools, strong product and design intuition, and mastery of a layered “AI LEGO” stack ranging from prompting and RAG to agentic frameworks and multimodal technologies.
This article reviews six open‑source MCP servers—Bright Data, Graphiti, GitIngest, Terminal, Code Executor, and MindsDB—showing how each extends large language models with web scraping, long‑term memory, code navigation, command‑line control, sandboxed Python execution, and multi‑source data integration, complete with practical code examples.
In a candid coffee‑shop conversation, an experienced tech leader shares actionable guidance on leveraging AI tools, mastering up‑ and down‑management, expanding influence, and smoothly landing in new teams to accelerate career growth for engineers aspiring to leadership roles.
This roundup highlights the latest AI developments for developers, including IBM’s new WatsonX Orchestrate agent tools, Anthropic’s web‑search API, Amazon Q Developer’s VS Code coding assistant, Google’s Gemini 2.5 Pro preview, OpenAI’s planned Windsurf acquisition, HCL’s agent orchestration platform, DigitalOcean’s GPU Droplets, Yellowfin’s AI‑NLQ, Apiiro’s ServiceNow partnership, and Dremio’s MCP server.
The MCP 2025‑03‑26 release replaces the implicit OAuth 2.0 flow with mandatory OAuth 2.1 PKCE, introduces a single‑endpoint Streamable HTTP protocol, enforces JSON‑RPC batch processing, adds multimodal audio support, tool metadata annotations and progress messaging, and outlines migration steps for developers and operators.
The article explains how AI tools like DeepSeek lower data‑analysis barriers, outlines the new CDA curriculum with three skill levels, describes essential business‑analysis abilities—from status visualization to attribution and quantitative strategy—and highlights the updated textbooks designed to boost professionals' competitiveness in the AI era.
While AI tools like Cursor, ChatGPT, and DeepSeek dramatically speed up code generation, documentation, and problem solving, the author reflects on how this reliance reshapes developers' thinking, learning habits, and core skills, offering practical strategies to balance efficiency with deep understanding.
This article systematically introduces the MCP protocol’s innovative role in standardizing large-model interactions, explains its architecture, development principles, and real-world impact, and demonstrates a complete server-client implementation using an enterprise WeChat bot to address fragmented AI tool calls.
This article surveys the rapid evolution of AI-powered developer tools over the past few years, categorizing them by how AI is embedded in workflows—from assistive chatbots to integrated IDE assistants, AI-first environments, rapid prototyping platforms, and autonomous agents—while evaluating their benefits, limitations, and future impact.
This guide explains how to use the Ollama ‘show’ command to retrieve detailed specifications of locally stored large language models, covering architecture, parameters, context length, embedding size, quantization, capabilities, and licensing information for informed model selection.
This article chronicles a step‑by‑step journey of using multiple AI‑driven tools to overcome resource bottlenecks, build small utilities, integrate front‑end code, and implement a complete dataset‑management feature in a full‑stack application, highlighting practical tips and pitfalls.
This article explains Anthropic’s open‑source Model Context Protocol (MCP), its client‑server architecture, resource and tool definitions, sampling workflow, and provides step‑by‑step Python examples for building a PoE2 hot‑fix fetcher and a simple chatbot that leverages MCP to connect large language models with external data sources and functions.
This manual introduces the fundamental concepts of the DeepSeek‑R1 model, explains large‑model and AIGC technologies, and provides practical guidance for selecting and efficiently using AI tools, helping readers grasp the deeper value of DeepSeek and related applications.
This comprehensive roadmap outlines the essential skills and tools—from AI assistants and data structures to testing frameworks, design patterns, cloud services, CI/CD pipelines, system design, performance tuning, and security practices—needed for aspiring full‑stack engineers to stand out in today’s competitive software industry.
This article examines the impact of AI on mathematics education, explores teachers' concerns about AI‑driven unemployment and over‑reliance, defines essential problem‑solving abilities, and proposes blended teaching strategies that integrate AI tools without sacrificing critical thinking and creativity.
The article recounts a Tubi meetup where senior engineers presented Argos, a cloud‑native load‑testing platform built with curl, Lambda, and ClickHouse to handle Super Bowl‑level traffic, while also discussing engineering mindset, cross‑team processes, and how AI tools empower developers to become 10x engineers.
The DeWu mini‑program platform unifies WeChat, Alipay and other channels into a single workflow by providing role‑based management, cross‑platform API abstraction, real‑time data synchronization, and Feishu‑linked approval, reducing manual tasks, speeding complaint handling, and boosting operational efficiency while addressing integration and security challenges.
This article reviews ten practical AI tools across office productivity, visual design, new‑media creation, and coding, providing core features, installation guides, and real‑world use cases, plus advanced workflows that combine large‑model generation with specialized applications to boost efficiency and creativity.
Nezha 2’s blockbuster success stemmed from the coordinated effort of 138 Chinese animation firms that expanded production teams, added 30% more shots and 40% more VFX, and deployed advanced pipeline, rendering, asset‑management, and AI tools to boost efficiency and visual quality.
The author reflects on DeepSeek’s explosive popularity, compares it to early ChatGPT hype, and outlines ten observations—from early‑stage entry and tool comparison to long‑term AI marathon thinking—offering a forward‑looking perspective on how technologists should navigate the AI transformation.
The article recounts a three‑hour hands‑on session with the AI‑powered IDE Trae, examines how AI assists in front‑end/back‑end development, discusses the current responsibilities of programmers—decision‑making, coordination, coding—and outlines future trends of AI replacement and the core competencies developers must retain.
This article provides a comprehensive guide on developing a Python tool to convert English videos into versions with Chinese dubbing and subtitles, covering all steps from audio extraction to final synthesis.
Learn how designers can harness AI tools in five practical steps—from script generation and AI‑driven image creation to video synthesis, music production, and final editing—to craft compelling, high‑quality videos that boost creativity and efficiency.
This article introduces WolframAlpha, the computational knowledge engine, outlines its core features—from advanced mathematics and scientific calculations to data analysis and natural-language queries—explains how to use it, compares it with large language models like ChatGPT, and discusses its strengths, limitations, and practical applications across research, education, and daily life.
The article surveys the surge of AI programming tools in 2024, illustrating how even non‑programmers can build full applications with AI assistants, compares ChatGPT’s code‑generation workflow with its Code Interpreter feature, and outlines each approach’s strengths and limitations.
The article analyzes recent shifts in the AI industry, comparing OpenAI's Canvas and Tencent's ima.copilot, and argues that Baidu Wenku's comprehensive, low‑barrier AI suite is redefining content creation by integrating generation, editing, and multi‑modal output in a single platform.
This article provides a comprehensive overview of Ollama, a lightweight tool for running large language models, detailing its client‑server architecture, local storage layout, and the step‑by‑step workflow of user interactions with the model.
This interview explores programmer Ji Nian’s journey from a modest internship to creating a profitable overseas tool platform, illustrating how his second‑curve framework, values, strengths, and passions guide independent development and product‑focused entrepreneurship in the AI era.
This article explains what code review is, why front‑end team leads should conduct it, and how to use AI‑powered VSCode extensions together with modern JavaScript/TypeScript techniques—such as optional chaining, function extraction, constant usage, and mapping—to streamline review workflows and produce cleaner, more maintainable front‑end code.
Discover seven AI-powered tools—including GitHub Copilot, Tabnine, ChatGPT, Figma plugins, DALL·E, AI testing suites, and Code Snippets AI—that can streamline coding, design, and testing, helping developers work faster, reduce repetitive tasks, and focus on creative problem‑solving.
This article explores how generative AI tools like ChatGPT, GitHub Copilot, and Amazon Q are enabling developers to rapidly reverse‑engineer, document, and modernize legacy codebases, reduce technical debt, and transform software development practices worldwide.
The article examines the “hardcore programmer” mindset that rejects modern IDEs, GUIs, and AI, tracing its roots to early resource‑constrained computing, debunking myths about IDEs, CLI, OS choice, and AI, and advocating a balanced, tool‑agnostic approach to boost productivity and code quality.
MegaParse is an open‑source document parser that transforms PDFs, Word, PPT, Excel and CSV files into LLM‑friendly formats, preserving full information, boosting processing efficiency, and enabling deeper semantic analysis, with quick‑start installation steps and a roadmap for future features.
This article introduces STORM, a Stanford‑developed large‑language‑model‑based knowledge‑management platform that automates topic research, outline generation, citation‑rich article writing, and iterative refinement through perspective‑guided questioning and simulated conversations, dramatically improving technical investigation efficiency.
Based on responses from over 65,000 developers across 185 countries, the 2024 Stack Overflow Survey highlights the most popular programming languages, databases, frameworks, IDEs, AI tool usage, and salary trends, revealing regional participation, education backgrounds, and emerging preferences such as Rust and Erlang.
This article details Huolala's AI-driven logistics platform, describing the Wukong one‑stop large‑model development environment, its layered architecture, low‑code and zero‑code capabilities, integrated AI tools, monitoring features, and real‑world applications such as Lalabot, intelligent training, and fault analysis.
This article explains the importance of code review, outlines its core goals and basic principles, provides step‑by‑step practical guidance with a detailed checklist, shares real‑world case studies and code examples, and discusses metrics and future AI‑assisted improvements to help teams improve software quality.
This comprehensive guide explains why code review is essential, outlines its core goals and principles, provides step‑by‑step practices and a detailed checklist, shares five real‑world case studies with before‑and‑after code, and looks ahead to AI‑assisted review tools.
This article explores how AI‑generated content (AIGC) tools like Midjourney and Stable Diffusion are reshaping visual design workflows, enabling faster ideation, customized assets, and brand‑centric applications while highlighting practical strategies and future outlooks for designers.
The article discusses the challenges of working with legacy technology stacks, offers practical advice for career development, interview preparation, skill enhancement, and recommends using AI tools and open‑source resources to stay competitive in a tough job market.
This article showcases the 13 award‑winning open‑source AI projects featured in the 2024 GitHub Accelerator, highlighting each project's purpose, founders, key technologies, and how they advance machine‑learning, model training, deployment, and innovative AI applications across various domains.
This report examines the rapid rise of AI‑generated content (AIGC) in visual design since early 2023, detailing tool adoption, usage patterns across design roles, practical applications, case studies, knowledge accumulation, and the challenges and future outlook for integrating AI into design workflows.
The article explains what the ChatGPT Code Interpreter is, demonstrates three practical use‑cases—document conversion, batch file processing, and fixing math errors—and outlines how to embed it in GPTs while noting its current limitations.
The article reviews the latest breakthroughs in generative AI, including Microsoft’s VASA‑1 video synthesis model, Meta’s open‑source Llama‑3 large language model, Stability AI’s Stable Diffusion 3 API, Adobe’s integration of third‑party AI video tools into Premiere Pro, and a free image‑style‑recreation platform from Freepik, highlighting their technical details and potential applications.
The article examines how generative AI and low‑code tools are reshaping software development, potentially lowering salaries, and outlines five practical strategies—learning high‑pay languages, leveraging AI, focusing on security, mastering product management, and building leadership—to maintain or boost earnings.
This article outlines the major 2024 web design trends—including AI‑powered tools, minimalist aesthetics, immersive 3D effects, dark mode, neomorphism, artistic typography, micro‑interactions, and brutalist design—explaining their benefits and showcasing practical examples for modern front‑end developers.
This article walks through the ChatGPT interface for creating custom GPTs, explains configuring basic information, details the five built‑in tools—knowledge base, web browsing, DALL·E image generation, code interpreter, and external API actions—and demonstrates each with concrete prompts and screenshots.
This article reviews the emerging field of tool learning for large foundation models, outlining its background, categorization, core framework components, training strategies, and applications such as WebCPM, BMTools, and ToolBench, while highlighting recent research results and open‑source resources.
Explore how AI tools like Stable Diffusion and Runway GEN‑2 can accelerate marketing design workflows, from converting 2D sketches to 3D assets, generating dynamic video posters, training custom LoRA models for travel backgrounds, and creating personalized avatar styles, with step‑by‑step case studies and practical tips.
This article introduces AI‑powered tools Copilot and Cursor, explains their capabilities such as code completion, diagram generation, refactoring, SQL optimization, batch processing, and unit‑test creation, and provides practical best‑practice tips, shortcut keys, and efficiency analysis for each stage of software development.
In a live session, NVIDIA senior deep‑learning solutions architect Zhai Jian demonstrates how to use Nsight Systems and Nsight Compute to analyze a simple neural‑network training workload, accelerate BERT with mixed precision, and examine matrix‑transpose kernels, with registration via QR code and a detailed event schedule.
A GitLab 2023 survey of over 10,000 DevSecOps professionals reveals that only 23% of teams have adopted AI in their software development lifecycle, while up to 90% plan to use it, highlighting training needs, security concerns, and the growing importance of AI for competitiveness.
The article shows that in the AIGC era a programmer who leverages AI tools like Copilot and GPT‑4 can deliver projects far faster and more cost‑effectively than a veteran relying on manual coding, urging developers to upskill, adopt AI‑assisted workflows, and focus on higher‑level design and ethical considerations.
This guide shows how to bypass complex keyword prompts by selecting and combining AI style models in the free‑to‑use "Instant AI Inspiration" tool, covering model selection, workflow steps, practical examples, and tips for resolution, downloading, and unlimited usage.
This document outlines a comprehensive Standard Operating Procedure for building and maintaining a mobile application quality system, covering background, pre‑emptive planning, coding standards, branch management, code review, AI‑assisted tools, monitoring, issue handling, and continuous improvement to ensure stable, high‑quality mobile products.
According to the 2023 Stack Overflow Developer Survey of over 90,000 respondents, JavaScript remains the most popular language, PostgreSQL tops databases, Node.js and React dominate web technologies, Zig tops highest‑earning languages, and AI tools like ChatGPT and GitHub Copilot see widespread adoption, reshaping development workflows.
The 2023 Stack Overflow Developer Survey, with over 90,000 respondents, reveals the most popular programming languages, highest‑earning languages, leading databases, preferred web frameworks, and the most trusted AI tools, highlighting how developers worldwide are adopting new technologies and AI assistance.
The 2023 Stack Overflow Developer Survey of over 90,000 participants reveals the most popular programming languages, highest‑paying language, leading databases, favored web frameworks, dominant IDE, and the hottest AI search and development tools, along with developers' trust and future expectations for AI.
Based on responses from over 90,000 developers, the 2023 Stack Overflow Survey highlights JavaScript’s continued dominance, Zig as the highest‑earning language, PostgreSQL overtaking MySQL, Node.js and React leading web technologies, Visual Studio Code’s growing popularity, and ChatGPT’s prevalence as the top AI search tool.
According to Stack Overflow’s 2023 Developer Survey of over 90,000 respondents, JavaScript remains the top language, PostgreSQL leads databases, while AI tools like ChatGPT and GitHub Copilot see widespread adoption, with developers increasingly trusting and relying on AI for coding tasks.
This guide explains how AI image generators like MidJourney and Stable Diffusion work, shows how to access and use them via Discord or local deployment, compares their features and pricing, and provides essential resources for creating high‑quality, copyright‑safe artwork.
The 2023 Stack Overflow Developer Survey, with over 90,000 respondents, reveals JavaScript as the top programming language, PostgreSQL overtaking MySQL as the most popular database, Zig as the highest‑earning language, Node.js and React leading web frameworks, VS Code as the preferred IDE, and ChatGPT and GitHub Copilot dominating AI tool usage, while also highlighting developers' trust levels and future expectations for AI in software development.
The 2023 Stack Overflow Developer Survey, with over 90,000 respondents, reveals JavaScript as the top language, Zig developers earning the highest salaries, PostgreSQL overtaking MySQL as the most popular database, Node.js and React leading web technologies, and AI tools like ChatGPT and GitHub Copilot gaining widespread adoption.
The article shares the author’s hands‑on experiments with ChatGPT, demonstrating how the AI model can generate code, translate scripts, create test cases, assist with debugging, and improve game‑testing workflows while also comparing its strengths to New Bing and discussing safety considerations.
This article demonstrates how to use ChatGPT as a Linux terminal, showing how to issue commands like uname, ip, and ping, displaying the responses, and discussing the implications of AI-powered command‑line access.
AutoGPT, the latest autonomous AI system, can independently browse the web, use third‑party tools, and execute tasks without human intervention, exemplified by building a React website in minutes, and this article explains its principles, showcases demos, and provides step‑by‑step installation instructions.
This comprehensive tutorial demonstrates how to leverage the official ChatGPT API and advanced prompt engineering techniques to develop a command-line tool that translates natural language instructions into precise shell commands, covering iterative prompt design, constraint implementation, and Node.js integration.
This article demonstrates how ChatGPT can serve as an all‑round research assistant—helping non‑native speakers locate papers, polish manuscripts, draft academic emails, generate titles and acronyms, and understand or annotate code—while warning users to verify its outputs.
This article explores how systematic quantification, task management, collaborative platforms, and emerging AI tools can dramatically improve the efficiency of internet product design, offering practical frameworks, case studies, and a suite of recommended resources for designers and managers alike.
This article introduces ten essential Python libraries—Awkward Array, Jupytext, Gradio, Hub, AugLy, Evidently, YOLOX, LightSeq, Greykite, and Jina/Finetuner—covering data handling, notebook integration, UI design, data management, augmentation, model monitoring, object detection, fast inference, time‑series forecasting, and semantic search, each with key features and links.
This guide lists and briefly describes 18 open‑source and cloud‑based machine learning platforms—from H2O and TensorFlow to Azure ML and AWS services—highlighting their key features, supported languages, and typical use cases for developers at any skill level.
