
Cubemate - AI Code Learning Assistant
Write, execute, and learn code in Python, Java, JavaScript, C++, Go, and Rust.
@francis7_a · X
Building - learning tools for devs and student. happy to connect.
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Write, execute, and learn code in Python, Java, JavaScript, C++, Go, and Rust.
@francis7_a · X
Building - learning tools for devs and student. happy to connect.

Interactive lessons in math, programming, data analysis, AI, and science.
@BruceWayne95290 · X
just leaving a comment cause its 1am and im vibe coding, will come back tomorrow (on an alt account for open claw fyi) I've worked with the following brands: vytadose, bajabeachco, jaje health, eric javits, 4knines, welleco, coatdefence

Transform study materials into concise notes and diagrams with AI assistance.
Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站

AI-powered learning assistant with personalized paths, intelligent tutoring, and adaptive practice.
LearnFlux — AI 驱动的智能学习助手,为你生成个性化学习材料,让你以更少时间掌握更多知识。

Interactive glossary of technical terms to help developers communicate with AI.
@I_am_oil_oil · X
最近 Vibe Coding 术语网站 做了一个小更新,之前有用户反馈卡片信息密度太高,比较难找到自己想要的术语。 于是我做了一些小调整,把卡片里原本的吧别名和小标签都移除了,加大了每一个卡片的标题字号,对应的英文术语调成主题色并且也加大字号。 我觉得一个最棒的调整就是将原本用于解释这个术语的描述,直接改为大家可能会去跟 AI 描述的话,比如鼠标的 hover 效果,它的描述: 修改前: “悬停是鼠标指针停在元素上但尚未点击时出现的交互状态” 修改后:“鼠标放上去的时候按钮变个色,让人知道它能点。” 经过这次修改,我自己能感觉到每一个术语在列表页上看都更加直观了,而且第一次访问可能会更有共鸣。 除此以外产品和后端相关的术语我也补充了更好的交互图解,相比干瘪的文字能够更好的让大家快速理解~ 下一步可能会做很棒的 AI 搜索功能了,目前大家如果要更方便的使用可以先用 vibe-hub 的 skill: 这个 Skill 可以让 Agent 获取网站里的任何信息。

Platform for learning and teaching online courses with AI tools.
@1809157Gaurav · X

AI-powered code review that runs code in microVMs to catch more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db