This article walks through a four‑step workflow—finding inspiration, generating a poster with Codex, converting the image to layered HTML, and importing it into Figma via a custom A2F plugin—while discussing token costs and the benefits of AI‑assisted design.
baoyu-design is an open‑source AI agent skill that wraps Anthropic's Claude Design into a local module, letting you generate high‑fidelity UI designs, interactive prototypes, wireframes, mobile previews, and design system documentation directly from editors like Cursor, Claude Code, or Codex, while offering deep integration, version‑controlled outputs, and a workflow that rivals both the official Claude design web UI and traditional tools such as Figma.
The article clarifies that Codex Skills differ from plugins—plugins connect external resources while skills define how to act—and shows why many developers see no effect because they invoke skills incorrectly, use vague prompts, ignore context, or choose the wrong trigger mode.
This article explains how structuring AI image prompts in JSON boosts controllability, reusability, and iterative editing, and provides twelve detailed examples covering product shots, UI screens, posters, and illustrations, complete with field definitions, code snippets, a quick‑reference cheat sheet, and a debugging checklist.
The article introduces Hallmark, an open‑source skill that equips AI coding tools with anti‑template design rules, enabling the generation of aesthetically pleasing, varied web pages by addressing common AI‑produced layout flaws such as purple gradients, single‑font usage, and overly centered content.
The article compares Kimi K2.6 with Claude Design, showing that Kimi not only generates complete front‑end websites and handles multi‑agent tasks but also does so at roughly one‑seventh the price, positioning it as a strong open‑source challenger in AI‑driven design.
The YoyoMan Drama team details how they transformed their product development pipeline by building Prompt‑friendly PRDs, design‑as‑code, AI coding infrastructure, and AI agents, creating a seamless “requirement‑design‑development‑test” loop that shifts work from manual effort to AI‑augmented processes across the entire workflow.
The article showcases GPT-Image-2's impressive ability to generate accurate visual and textual content from prompts, explains how its structural understanding resolves previous AI image flaws, and analyzes the disruptive impact on the design industry, including job displacement, cost efficiency, and market oversupply.
Claude Design’s preview launch on April 17 triggered a sharp drop in major design‑tool stocks, showcases a natural‑language driven workflow that generates interactive UI, PPT and code, reveals high token consumption and uniform styling limits, and has its full system prompts publicly leaked on GitHub, signaling a major shift in the AI‑design landscape.
GPT‑Image‑2, the latest OpenAI image model, dramatically outperforms its predecessors in Chinese text rendering, world‑knowledge accuracy, precision editing, and aesthetic quality, as demonstrated through numerous concrete examples—from flawless recruitment posters and realistic UI mockups to intricate K‑pop album concepts—signaling a paradigm shift for designers.
Claude Design, Anthropic's new conversational design tool built on Claude Opus 4.7, reshapes AI‑assisted UI creation by moving design into a chat interface, integrating handoff to Claude Code, and challenging existing workflows from Figma to DIY design pipelines.
Google Labs’ March 18 update to Stitch introduces an AI‑native infinite canvas, a stronger design agent, voice‑driven collaboration, instant interactive prototyping, and the DESIGN.md system, dramatically lowering design barriers, speeding workflows, and sparking a debate on the future role of designers.
Qwen‑Image‑2.0, the latest text‑to‑image model from Tongyi Qianwen, delivers pixel‑perfect 2K text rendering, supports 1K‑token prompts, and combines generation and editing in one model, achieving a score of 1029 and third place in the global AI Arena benchmark, positioning it as an AI‑powered designer for PPTs, posters, infographics, and comics.
The article examines Microsoft’s open‑source T‑RELLIS .2 model that turns 2D sketches into high‑fidelity 3D assets in seconds and Qwen‑Image‑Layered, a diffusion‑based system that decomposes images into editable RGBA layers, highlighting their architectures, performance benchmarks, and implications for designers.
OpenAI's newly released GPT-5.2 claims to outperform human experts on about 70% of real tasks, achieve a perfect score on the AIME 2025 competition, and deliver dramatic efficiency gains—up to 390× cost reduction—while showcasing impressive examples such as one‑shot ocean shader generation, a full 3D engine built in a single file, and visual‑perception scores rivaling top models.
This article examines the rapid evolution of generative AI UI tools—from early LLM‑template systems to emerging design agents—outlines practical step‑by‑step workflows, compares popular solutions, shares prompt‑engineering tips, and predicts how AI‑driven editors will reshape product design in the coming years.
This article explores how AI‑powered low‑code platforms transform UX design by enabling designers to turn concepts into functional prototypes, reducing development effort, accelerating validation cycles, and reshaping the workflow from creative ideation to product delivery through real‑world case studies.
This article examines how artificial intelligence reshapes UI design by boosting efficiency, enabling personalized experiences, and supporting data‑driven decisions, while also confronting limits such as understanding complex business logic, lacking creative nuance, and adapting to industry‑specific standards, illustrated through the Uizard tool.
This article surveys recent advances in automatically converting UI design drafts into code, reviewing solutions from Meituan, Xianyu, Microsoft, a range of design‑to‑code tools, Flutter‑specific generators, JD's Ling platform, and practical experiments with large language models for Flutter code generation.
This article reviews how major companies like Meituan, Xianyu, Microsoft, and JD explore AI‑driven UI‑to‑code solutions, compares popular design‑to‑code tools, and shares practical experiences generating Flutter code from design drafts.
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 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.
In August, our team tackled two high‑traffic delivery campaigns, using AI‑assisted design to speed up visual creation, analyze user scenarios, and boost coupon redemption, ultimately demonstrating how Midjourney and Stable Diffusion can transform workflow efficiency while preserving brand identity.
Fin2.0, NetEase Cloud Music’s AI‑driven design assistant, combines text‑to‑image, text‑to‑icon and text‑to‑copy generation with an internal Stable Diffusion engine and streamlined prompt templates, enabling non‑designers like a colleague to create high‑quality promotional banners in hours while avoiding external costs and data‑security risks.
The article outlines how AI, especially large language models and ML‑DevOps, is reshaping software engineering from historical roots through requirement mining, design automation, intelligent coding, testing, and AIOps, culminating in the transformative impact of GPT‑4 on development practices.
This guide shows how AI tools—especially the Instant AI platform—can streamline UI design by generating editable design drafts, providing design references, and offering practical prompting techniques to dramatically improve speed and quality for designers.
This guide shows how to use Midjourney's new /describe command to convert reference images into detailed prompts, evaluate their quality, and combine them with the /image command for fast, accurate AI‑generated commercial graphics, enabling even beginners to create posters in minutes.
The article explains how the Tongtian Tower platform’s automatic design‑to‑floor generation, leveraging Sketch parsing and RELAAAY asset management, reduces page‑building steps, cuts construction time by 40%, and enhances flexibility for designers, operators, and merchants.
This article describes how the Tongtian Tower platform breaks traditional R&D barriers by enabling zero‑code, one‑click conversion of design drafts into production‑ready floor layouts, detailing the underlying architecture, data processing pipeline, core capabilities, challenges faced, and future optimization plans.
This article describes how the Tongtian Tower team built an end‑to‑end design‑draft auto‑recognition system that parses Sketch JSON, converts it into a floor‑building DSL, and enables designers and operators to generate and fine‑tune floor layouts with up to 40% higher efficiency.
This article outlines the methodology, key decision factors, and practical scenarios for moving electronic design automation (EDA) environments to the cloud, comparing hybrid and full‑cloud solutions for large design firms and start‑ups, and presents case studies such as STA migration.
This article explains the complete chip design workflow—from specification, HDL coding, and simulation to back‑end steps like floorplanning and verification—while detailing the dominance of foreign EDA vendors, profiling Chinese EDA companies, academic research groups, government support policies, and future trends such as cloud services and agile design.
The article presents a detailed technical interpretation of JD’s Design Help Open Platform, describing how it aggregates designers, leverages 3D modeling, VR, and fast rendering to solve the pain points of home‑decoration users, improve designer efficiency, and create a closed‑loop shopping experience.
This article explores how design automation, powered by AI and machine‑learning, is reshaping UX workflows, enabling rapid conversion of low‑fidelity sketches into high‑fidelity prototypes, accelerating product cycles, and offering concrete benefits for designers, product managers, and development teams.
This article explores the rise of AI‑driven visual generation, detailing the definition, goals, industry challenges, technical framework, key algorithms, real‑world applications, and future prospects of Alibaba’s “Lu Ban” intelligent design system.
Alibaba unveiled its AI‑driven design platform Luban, which leverages massive data and machine‑learning algorithms to automatically generate high‑quality, personalized graphics at double‑digit scale, reshaping design workflows, boosting efficiency, and prompting a strategic shift for designers in the new commercial era.
