
AI-Powered Learning Assistant | TurboLearn
用TurboLearn从学习资料生成笔记和图表。
Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站
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用TurboLearn从学习资料生成笔记和图表。
Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站

与 AI 教练练习编程面试、系统设计和代码审查。
@preproomai · X
🟢Get ready for #vibecoding and AI #codereview. It is cutting-age & you can't miss: Time to ditch old-school @LeetCode ! #SoftwareEngineering #TechInterviews #CodingSkills #TechCareers #PrepRoom #TechCareers #SystemDesign #ITJobs #CareerGrowth

从文本提示自动生成、构建和部署完整项目的AI代理。
@liquidated0x · X
building an AI coding agent that ships full projects from a prompt — if you're if you're curious

对比 AI 模型在编码任务上的表现,支持成本追踪和 ELO 排名。
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.

FizzBee 是 AI 需求工程师,为编程 agent 生成经过验证的规格说明。
jayaprabhakar · HN
I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...

Aethereum 为 AI 编码代理提供协调层,让它们在共享代码上协作而不产生冲突。
u/KangarooPitiful594 · Reddit
I built Aethereum: a team coordinator for AI coding agents (free beta) the simple version: if your team codes with AI agents, aethereum keeps them coordinated so you ship faster. everyone runs whatever agent they like (claude code, cursor, codex, cline, zed) and they all join one room. agents see what each other is building, get warned before breaking each other's changes, and can share code between machines end to end encrypted. when two agents want different API shapes they negotiate it b

AI驱动的Magicly平台,提供直观的Vibe编程开发体验。
@isuryatk · X
- World's most reliable vibe coding platform

自主AI工作空间,能研究、编码、分析数据、操作浏览器。
@WorkFarOfficial · X

通过AI驱动的模拟和专家反馈练习系统设计面试。
@ShashankCode · X
Checkout here :

在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)

Vibe Coding Plan用AI驱动的规划,为每个任务推荐最经济的AI模型。
@Hanumliahzhra · X
vibecoding free tier Just discovered Vibe Coding Plan - AI-powered project planning that breaks down ideas into actionable tasks! Check it out

AI 团队工具,帮助创作者构建和部署应用
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.