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Claude Code & Codex Mobile IDE

Claude Code & Codex Mobile IDE

BetterBit

Developer Tools免费v1.5.9
App Store
评分

4.3

24 条评分

星级

★★★★☆

最近更新

2026年5月13日

发布日期

2025年9月16日

更新内容

v1.5.9

- Make the agent grouping and filter as dropdown list - Improve experience of showing profile - Add speak to code for new session page - Improve chat and ask user question user experience

应用信息

开发者
BetterBit
分类
Developer Tools
价格
免费
版本
1.5.9
App ID
6751626168

简介

Vibe Code Anywhere (Vicoa) is the easiest way to use Claude Code on any device. Start coding on your laptop, continue seamlessly on your phone or tablet, and never miss an important moment when your AI agent needs your input. Vicoa was built for developers who want to stay in flow even when they step away from their desk. Whether you’re waiting for a build, running a long task, or need to approve an agent’s next step, Vicoa keeps you connected. Key Features: • Continue Claude Code sessions across laptop, mobile, and tablet • Get instant alerts when your AI agent needs clarification or has finished a task • Pick up right where you left off, even if your laptop is running a long process • See live updates from your agent in real time • Simple setup – connect once and stay in sync How It Works: 1. Install the Vicoa CLI on your terminal 2. Sign in to authorize the terminal 3. Start a Claude Code session as usual and switch between devices at any time Perfect for developers who: • Step away from their desk but want to stay productive • Run long-running AI tasks that need occasional input • Work flexibly across laptop, tablet, and phone • Want to code from the couch, coffee shop, or on the go Vicoa is your companion for Claude Code and Codex – designed to keep you in control and your workflow uninterrupted, wherever you are. Download Vicoa and start vibe coding anywhere anytime! Terms of Use: https://vicoa.ai/terms Privacy Policy: https://vicoa.ai/privacy We value your feedback and suggestions. Connect with us: Email: hi@vicoa.ai

下载量预测

专业 · 预览

预估总下载量

2K1K3K
保守估计乐观估计

150

低 / 月

222

预估 / 月

429

高 / 月

基于24 条评分
假设评分率1.4%
应用年龄8 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。