
AI project management for developers | Ravel
Ravel:为开发者提供AI驱动的项目管理,支持GitHub跟踪和冲刺规划。
@Gallagh819 · X
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Ravel:为开发者提供AI驱动的项目管理,支持GitHub跟踪和冲刺规划。
@Gallagh819 · X

定义一次团队信息,让所有 AI 工具同步访问和更新。
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.

构建共享知识图谱,为AI代理组织团队背景信息。
ximihoque · HN
Collaborative context-sharing memory platform for agents and teams

分享 Claude Code 脚本和 Codex 聊天记录的协作工具。
@stevekrouse · X
We've been using this internally to share claude code and codex chats, and I just made some improvements to make it easier for others to install and use

输入项目简报生成风险、问题、架构和时程的对齐报告。
@GroundedIQ · X
GroundedIQ exists to close the gap between what a client asks for and what actually gets built. That gap is where projects bleed — in change orders, blown timelines, and the slow erosion of trust between a consulting team and the people who hired them.

AI工具,通过分析会议记录检测范围蔓延,为代理商和自由职业者标记风险。
@theshaunak_twit · X

扫描 GitHub 仓库检查生产就绪度、安全性和可扩展性。
@nathanghart · X
Submitting for approval. I built a free tool for anyone about to ship a vibecoded app. It scans your repo for what bites you in prod (leaked keys, no auth, no error handling). I ran it on 1,868 AI-built apps and even caught my own scanner being ~42% wrong.

在仪表板中发现热门开源项目,追踪您的PR和问题。
@manixh · X

自动将你的GitHub提交作为卡片每日发布到X。
@manoj_surya_ · X
I just launched 🚀 A Proof of Ship, every day — straight from your GitHub. You already do the hard part: you commit. git-to-x turns that into a designed card and posts it to X every morning. Your timeline finally looks like what you actually are — someone who ships. → 8 card designs, rotating (terminal, heatmap, flame, ticker…) so it never gets stale → weekly + monthly milestone cards — your streak becomes a story worth following → tweet from your CLI / Cursor / Claude Code without leaving your editor → free for 10 days, full access See who else is shipping daily under #proofofship — and join them. It touches your repo, so safe-to-try came first: → open source (AGPL) — audit it or self-host → read-only — we never touch your code This is my first build-in-public tool. I built it for myself, and for anyone tired of switching between shipping and posting about shipping. First 100 get founding lifetime — a permanent number on every card. Try it, tell me

协调多个 AI 编码代理在共享代码上工作,无冲突无需登录。
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

存储提示词和背景信息,通过 MCP 让 Claude Code、Cursor 等 AI 工具共享访问。
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

AI 代理的统一上下文层,集成邮箱、Drive、Slack、Notion 和 GitHub。
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)