AI时代设计 的变局与挑战

Alishahryar1/free-claude-code

Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported) 🤖 Free Claude Code Use Claude Code CLI, VS Code, JetBrains ACP, or chat bots through your own Anthropic-compatible proxy. Free Claude Code routes Anthropic Messages API traffic from Claude Code to NVIDIA NIM, Kimi, Wafer, OpenRouter, DeepSeek, LM Studio, llama.cpp, or Ollama. It keeps Claude Code's client-side protocol stable while letting you choose free, paid, or local models. Quick Start · Providers · Clients · Integrations · Development Star History What You Get Drop-in proxy for Claude Code's Anthropic API calls. Ten provider backends: NVIDIA NIM, Kimi, Wafer, OpenRouter, DeepSeek, LM Studio, llama.cpp, Ollama, OpenCode Zen, and Z.ai. Per-model routing: send Opus, Sonnet, Haiku, and fallback traffic to different providers. Native Claude Code /model picker support through the proxy's /v1/models endpoint (Claude Code must opt in to Gateway model discovery; see Model Picker). Streaming, tool use, reasoning/thinking block handling, and local request optimizations. Optional Discord or Telegram bot wrapper for remote coding sessions. Optional Usage through the VSCode extension. Optional voice-note transcription through local Whisper or NVIDIA NIM. Local Admin UI at /admin to edit supported proxy settings, validate changes, and check providers (loopback access only). Quick Start 1. Install the latest version of Claude Code npm install -g @anthropic-ai/claude-code 2. Install Runtime Requirements Install the latest version of uv and Python 3.14. macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh uv self update uv python install 3.14 Windows PowerShell: powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" uv self update uv python install 3.14 3. Get An NVIDIA NIM API Key Create a free NVIDIA NIM…[truncated]

OpenAI 正式发布 Codex CLI，一款可在终端本地运行的轻量级编码代理。用户通过自然语言即可执行代码生成、文件操作等任务，同时支持接入 VS Code、Cursor 等主流 IDE，对设计工程师而言，这意味着原型到代码的闭环可以进一步在命令行中完成。

一个基于 Claude Code 的开源求职工作流，可自动评估职位匹配度、生成定制化简历与求职信，并内置审稿代理优化输出。当前职位爬取主要针对丹麦市场，但核心架构支持替换为本地招聘网站。

multica-ai/andrej-karpathy-skills

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. Karpathy-Inspired Claude Code Guidelines Check out my new project Multica — an open-source platform for running and managing coding agents with reusable skills. Follow me on X: https://x.com/jiayuan_jy A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. English | 简体中文 The Problems From Andrej's post: "The models make wrong assumptions on your behalf and just run along with them without checking. They don't manage their confusion, don't seek clarifications, don't surface inconsistencies, don't present tradeoffs, don't push back when they should." "They really like to overcomplicate code and APIs, bloat abstractions, don't clean up dead code... implement a bloated construction over 1000 lines when 100 would do." "They still sometimes change/remove comments and code they don't sufficiently understand as side effects, even if orthogonal to the task." The Solution Four principles in one file that directly address these issues: Principle Addresses Think Before Coding Wrong assumptions, hidden confusion, missing tradeoffs Simplicity First Overcomplication, bloated abstractions Surgical Changes Orthogonal edits, touching code you shouldn't Goal-Driven Execution Leverage through tests-first, verifiable success criteria The Four Principles in Detail 1. Think Before Coding Don't assume. Don't hide confusion. Surface tradeoffs. LLMs often pick an interpretation silently and run with it. This principle forces explicit reasoning: State assumptions explicitly — If uncertain, ask rather than guess Present multiple interpretations — Don't pick silently when ambiguity exists Push back when warranted — If a simpler a…[truncated]

makeplane/plane

🔥🔥🔥 Open-source Jira, Linear, Monday, and ClickUp alternative. Plane is a modern project management platform to manage tasks, sprints, docs, and triage. Modern project management for all teams Website • Forum • X • Documentation Meet Plane, an open-source project management tool to track issues, run ~sprints~ cycles, and manage product roadmaps without the chaos of managing the tool itself. 🧘‍♀️ Plane is evolving every day. Your suggestions, ideas, and reported bugs help us immensely. Do not hesitate to join in the conversation on Forum or raise a GitHub issue. We read everything and respond to most. 🚀 Installation Getting started with Plane is simple. Choose the setup that works best for you: Plane Cloud Sign up for a free account on Plane Cloud—it's the fastest way to get up and running without worrying about infrastructure. Self-host Plane Prefer full control over your data and infrastructure? Install and run Plane on your own servers. Follow our detailed deployment guides to get started. Installation methods Docs link Docker Kubernetes Instance admins can configure instance settings with God mode. 🌟 Features Work Items Efficiently create and manage tasks with a robust rich text editor that supports file uploads. Enhance organization and tracking by adding sub-properties and referencing related issues. Cycles Maintain your team’s momentum with Cycles. Track progress effortlessly using burn-down charts and other insightful tools. Modules Simplify complex projects by dividing them into smaller, manageable modules. Views Customize your workflow by creating filters to display only the most relevant issues. Save and share these views with ease. Pages Capture and organize ideas using Plane Pages, complete with AI capabilities and a rich text editor. Format text, insert images, add hyperlinks, or convert your note…[truncated]

Nous Research 开源 Hermes Agent，一款内置自学习闭环的 AI 智能体。它能从经验中创建和优化技能，跨会话构建用户画像并持久化记忆，支持 OpenAI、Kimi 等 200 余种模型切换与 Telegram、CLI 等多平台接入，且能以极低运营成本部署在 VPS 或服务器less 环境。

Anthropic 在 GitHub 上线了 Claude 插件社区市场，提供经安全审核的第三方插件。Claude Code 与 Claude Cowork 用户可直接安装社区插件扩展功能，相当于为 AI 编码和设计助手增加了应用商店。对依赖 Claude 工作流的设计工程师而言，这意味着工具链可定制性将大幅提升。

基于 Rust 与 GPUI 的 Logitech Options+ 开源替代品，原生支持 macOS、Linux 和 Windows，可通过 HID++ 重映射按键、调节 DPI 与 SmartShift，并支持应用级配置文件与 Litra 灯光控制。纯文本 TOML 配置便于同步，无需账号、无遥测，但目前仍处早期开发阶段。

Apache 孵化器新项目 Maka 发布早期版本。这是一个本地优先的 AI Agent 工作空间，默认把会话与运行记录留在本地，支持桌面端、TUI 和 CLI。它将模型消息、工具调用记录为追加日志，提出「日志即运行时」的架构理念。对关注隐私与可复现 AI 工作流的设计工程师，这是值得跟踪的实验性工具。

PostHog 仓库登上 GitHub Trending，官方描述将其定位为“自动驾驶产品”平台，涵盖 AI 可观测性、会话重放、功能标志与实验等工具。然而内容仅为标准 README 式的功能罗列，既无版本更新细节，也未提供设计师可直接上手的工作流或集成方法，信息密度极低。

OpenClaw 是一款开源个人 AI 助手，支持在 macOS、Linux 和 Windows 上本地运行，通过单一 Gateway 连接各类模型、工具与聊天渠道。用户可在熟悉的通讯环境中调用 AI，适合希望将 AI 助手私有化部署并集成到现有工作流的创作者与开发者。

这是一个将 Claude Code 与 Obsidian 结合的开源知识管理系统，基于 Karpathy 的 LLM Wiki 模式，能把任意来源的素材自动整理成带引用、互相关联的 Markdown 笔记。对设计师而言，它意味着竞品调研、设计参考可以被 AI 主动链接与溯源检索，且数据完全本地留存。

GitHub Trending 新晋全开源AI工程课程，共435节课、20个阶段约320小时，覆盖Python/TypeScript/Rust/Julia。课程要求从线性代数和反向传播开始手写代码，逐步构建Tokenizer、Attention机制直至MCP服务器和自主智能体集群，每节课均产出可复用工程产物。

Basecamp 创始人 DHH 发布名为 Omarchy 的 Linux 发行版，主打美观桌面体验、统一主题与热键体系，并内置 Neovim、AI 开发工具链等组件，试图为厌倦 macOS 的开发者提供一套高度定制化且审美偏执的操作系统方案。目前已登上 GitHub Trending。

这是一个开源 API 聚合器，将 34 家提供商的 635 个免费 LLM 端点统一为 OpenAI 兼容格式，支持智能路由与自动故障转移。设计工程师只需一个密钥即可零成本实验各类生成模型，涵盖聊天、图像、音频与嵌入接口，充分利用每月 74 亿 token 的免费额度。

Vaultwarden 是 Rust 编写的非官方 Bitwarden 服务端，完整实现客户端 API，支持个人保险库、双因素认证、组织管理和紧急访问，主打低资源自托管，但对产品设计师与 AI 设计师的日常工具链几乎无直接关联。

这是一个面向 GPT-Image 2 的 Prompt as Code 开源项目，聚合了 470+ 逆向工程案例与 20+ 工业级模板，配套可视化网站支持直接预览、复制提示词并在线测试。设计师可跳过从零调试，直接复用经商业验证的生成策略，快速落地高完成度的 AI 图像工作流。

awesome-agent-skills 仓库聚合了 Anthropic、Figma、Stripe 等官方及社区贡献的 1000 余条 Agent Skills，兼容 Claude Code、Cursor、Codex 等工具。不同于批量生成的低质列表，这里强调手工筛选的真实工程实践，可直接导入提升 AI 编程工作流。

OpenHuman 是一款登上 GitHub Trending 的开源桌面 AI 助手，主打隐私保护和开箱即用。它支持 118+ 第三方服务集成，能作为真实成员加入 Google Meet，并带有会互动、有记忆的桌面吉祥物，试图把 agent 从命令行拉回图形界面。