Articles

Drawing from his entrepreneurial experience and AI Coding practices, the author profoundly explores how engineers should transform their mindsets and skills in the AI era. The article's core argument is that "traditional software development is becoming obsolete." AI Coding can achieve product development, launch, and iteration without dedicated product managers, testers, UI designers, or front-end/back-end divisions. The author shares three approaches to solving AI context problems and emphasizes the accuracy and efficiency of their current self-developed "manual selection + automatic injection" solution, while also acknowledging its high cost. The article further elaborates on the disruptive impact of AI Coding on traditional software development models, suggesting that divisions of labor will disappear, teams will become highly flattened, and engineers will return to software design. Future software engineers will no longer be mere 'coders,' but rather designers. At the same time, the author cautions against over-glorifying AI Coding, stressing a mixed approach rather than 100% AI-generated code. This article offers highly innovative content and practical guidance, aiming to help technology practitioners adapt to the new challenges of the AI era.

This article begins by exploring the evolution of Java Web development frameworks, subsequently introducing WebFlux, a new reactive programming framework in Spring 5. The author first analyzes the inherent bottlenecks of the traditional Spring MVC synchronous blocking model in I/O-intensive scenarios, highlighting issues like thread idleness and resource waste caused by its "one request, one thread" pattern. It then elaborates on WebFlux's core philosophy, rooted in the reactive programming paradigm: handling a large volume of concurrent requests with a small, fixed pool of threads through asynchronous non-blocking I/O and an event-driven mechanism. Key concepts like Mono/Flux types and the backpressure mechanism within the Reactor library are alsoexplained. The article further compares WebFlux's annotation and functional programming models, noting how they reduce the learning curve for developers, and meticulously describes the request lifecycle within WebFlux. Finally, the author objectively assesses WebFlux's performance advantages (high concurrency, low latency in I/O-intensive scenarios) and the challenges it presents (programming paradigm shift, ecosystem compatibility, learning curve). Practical technology selection processes are offered, emphasizing that no technology is a silver bullet, and balancing pros and cons based on business scenarios is crucial.

Meituan's LongCat AI tool has launched a new AI image generation feature, with its core being the "LongCat-Image" model. This feature emphasizes "speed, realism, and accuracy" in text-to-image generation tasks: rapid output, studio-shot quality, and precise Chinese text rendering. More importantly, it integrates image generation and editing, allowing users to re-edit images through natural language, supporting 15 sub-tasks, and maintaining consistent image quality across multi-round edits. In addition, LongCat-Image excels in Chinese text generation, accurately rendering rare characters and implementing intelligent typesetting. At the technical level, LongCat-Image adopts an MM-DiT+Single-DiT hybrid backbone architecture and a VLM conditional encoder, improving instruction following and consistency. Through refined model design and optimization, it supports efficient inference on consumer-grade graphics cards, aiming to make AI image generation an accessible creative tool for everyone.

freeCodeCamp has released a new JavaScript certification, offering hundreds of hours of interactive lessons, workshops, labs, and quizzes to teach core JavaScript concepts like variables, functions, DOM manipulation, and asynchronous JS. The certification employs a modular approach with theoretical lessons, practical workshops, labs, review pages, and quizzes to ensure thorough understanding. Learners must complete five projects before taking a 50-question exam hosted in a new open-source environment. freeCodeCamp ensures all certifications are free and implements robust anti-cheating measures, including randomized question banks, weekly exam attempts, and manual review, while prioritizing user privacy by avoiding webcam or ID requirements. The article also addresses frequently asked questions regarding exam format, accessibility, retake policies, and course compatibility, highlighting the value proposition for developers.

The article deeply evaluates Zhipu AI's GLM-4.6V series model, which is the first visual model to support tool calling. It can not only understand and describe images like traditional visual models but also use tools for search, screenshots, drawing, and other operations. The author tests GLM-4.6V's powerful capabilities across seven practical application scenarios, including animal identification, location analysis, OCR recognition, stock technical analysis, long document visual-text analysis, fruit image recognition and localization, and frontend code reconstruction. The model's performance in long document processing and frontend code reconstruction is particularly outstanding, demonstrating high efficiency and practicality. The article also compares GLM-4.6V with GPT-5 and Gemini 3 in terms of advantages and disadvantages, and provides methods for trial use and suggestions for developers.

This article comprehensively evaluates Zhipu AI's new GLM-4.6V multimodal model, including its cloud-based 106B foundation version and local 9B lightweight version. A key highlight of this model is its native multimodal function-calling capability, which integrates perception, comprehension, and execution within a single inference chain, eliminating the need for external engineering or complex integration. Through seven specific case studies—such as web page reproduction, document interpretation and writing, product price comparison, difficult text recognition, map reasoning, and reverse image search—the article thoroughly demonstrates GLM-4.6V's powerful ability to handle complex visual tasks. It particularly excels in understanding mixed text and image content in documents and in image content recognition, significantly boosting content creation and information retrieval efficiency. While the article notes that its frontend reproduction capabilities still trail top-tier models, it underscores GLM-4.6V's immense potential as an Agentic foundation model.

The article deeply analyzes the impact and reshaping of AI on the existing social media ecosystem, pointing out that with the popularization of Large Language Models (LLMs) and AIGC, social networks face content fabrication and a crisis of trust. Through guest discussions, the author reveals the root causes of the current pervasive 'sense of emptiness' and elaborates on four future social trends: returning to the essence of human connection, decentralization towards niche communities, Agent-to-Agent economy, and the scarcity of authenticity. It particularly introduces the 'Bixing' product as a social experiment, whose core philosophy is 'from chat to action' and 'value transaction'. Through functions such as natural language intent recognition, AI avatars (mirror), and social action cards, it attempts to build a social platform that rejects algorithmic feeding and guides users towards real-world connections. The article ultimately reflects on traditional metrics like DAU and user engagement time, emphasizing that the ultimate goal of AI social networking should be to help users efficiently find like-minded individuals and return to real life, rather than being immersed in virtual screens. Additionally, the article discusses AI's potential in managing 'weak ties', considering this a significant differentiating factor for future AI social networking.

This article details the technological evolution and core components of Baidu HuiBoXing, a digital human live-streaming platform. HuiBoXing leverages Baidu's AI capabilities in vision, speech, and language to create an end-to-end AI live-streaming solution, covering script generation, real-time Q&A, intelligent decision-making, and audio-visual cloning. Core technologies include style-specific script generation based on retrieval augmentation and reinforcement learning, capable of achieving high conversion rates; an AI-driven control agent built using reinforcement learning, which dynamically optimizes live-streaming strategies based on real-time room status; and efficient voice cloning and avatar synthesis technologies, significantly reducing production time to just hours. The article also emphasizes the "prior-posterior" data flywheel mechanism, enabling models to autonomously evolve and continuously integrate real user feedback. The case of Luo Yonghao's digital human live stream generating over 55 million yuan in GMV strongly validates HuiBoXing's commercial success.

The author provides a detailed introduction to the new possibilities and creative potential brought by the Conch AI platform's latest integration of OpenAI's Sora 2, Google's Veo 3.1, and its self-developed Nano Banana Pro—a powerful trio of AI video models. Through multiple specific cases of image-to-video, text-to-video, combining sound, and end-frame generation, the article demonstrates how to flexibly utilize these models to meet various video creation needs. Furthermore, the author compares the characteristics and applicable scenarios of Sora 2 and Veo 3.1, highlighting Conch AI's advantage as a comprehensive aggregation platform, offering users a convenient one-stop solution for top-tier models.

This article offers a detailed introduction to a gesture-interactive 3D Christmas tree project, generated based on a Gemini3 prompt. The core technologies include Three.js for 3D rendering and Physically Based Rendering (PBR) materials, EffectComposer for cinematic post-processing bloom effects, and Google MediaPipe for pure frontend real-time gesture recognition. Through gestures like pinching, spreading, and clenching a fist, users can remotely control 3D particles, enabling smooth transitions between a Christmas tree form, a scattered nebula, and a focused photo state. The article not only provides a complete prompt guiding users on how to use AI to generate code but also delves into Three.js's rendering details, MediaPipe's edge AI inference capability, and the mathematical beauty of particle systems in its technical principles section. This practical and inspiring tutorial demonstrates how to combine advanced frontend technologies with AI to create innovative interactive experiences.