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🚨 AI coding agents can build amazing things.... But then you still need to manually deploy the code on Vercel, Netlify, etc... And sometimes, the work your agent creates is still buried in chat, stuck in a .md file, or sitting on localhost. But I just found Showly AI...... show more
86,452 просмотров • 12 дней назад •via X (Twitter)
Комментарии: 36

You just need to connect Showly to your AI coding agent. Showly connects with: → Claude Code → Codex → Cursor → OpenClaw → Hermes So you can PARALLELY run multiple CODING agents.... And still have ONE place to deploy everything.

Instead of leaving your agent's work buried in chat or stuck on localhost, Showly turns it into a page that you can actually read and share. Showly also has a VERSION HISTORY of every push. So if your AI agent pushes a BUG 🐞 You can literally: 1️⃣ See the error logs. 2️⃣ Check the Buggy Code 3️⃣ And roll back You don't have to PRAY... That the latest AI-generated code works. 💀

You get analytics, error logs, and performance data like: → Load latency → Requests → Errors → Lighthouse-style checks So you can actually see what your AI agent shipped.

Not just code sitting in a chat or on localhost. Actual work you can deploy, read, and share. Try 👇 And get closer to AI-native development!!

This is a massive game-changer! Getting agent code out of localhost and straight into production so easily is exactly what we needed. 🔥

I’d definitely use this when an agent builds something for me.

This is a huge step toward making AI coding agents truly autonomous. Deploying, tracking changes, and rolling back from one place makes the entire workflow much smoother. Showly AI looks really promising! 🔥

Rollbacks are simple for stateless frontend assets, but does Showly AI support database migration rollbacks or is this automation limited to static hosting?

The future isn’t just AI that writes code. It’s AI that takes the idea from prompt → build → deploy → iterate.

This solves a real pain point for AI coding workflows. Turning agent-generated code into a deployed, trackable, and shareable project makes the whole process much smoother. Love the rollback feature too!

👍💖

Amazing

The workflow is simply amazing.

would be interesting to pair this with Sogni Creative Agent: create the assets, build the experience, then give someone a link 🤩

👌❤️

"Manual deployment was always the main bottleneck for AI coding agents. Showly AI looks like a real game-changer!

This is a huge upgrade for AI coding workflows. Turning agent-generated code into deployed, trackable, and shareable projects makes the whole process feel much more complete.

This solves a real gap in AI coding workflows. Building the project is only half the job deploying, tracking changes, and rolling back safely are just as important.

部署才是 agent 交付的断点。能把变更、预览和回滚一起暴露出来,比再加一个模型选项更接近可用。

The missing piece is turning agent output into something usable, shareable, and persistent.

The last mile is the real bottleneck. Agents can generate, but if it dies in chat or localhost it never existed. Deploy + rollback is the part that actually closes the loop.

This solves a real gap in AI coding workflows. Building is one thing, but deploying and tracking everything cleanly is another.

nice share

AI coding is getting much more powerful, and having a simple path from generated code to a live, shareable project makes the workflow even better. 🚀

This is exactly why we don't let agents deploy. They miss the unstated requirements. Security rules, rollback paths, environment secrets.

Wow, running multiple agents in parallel but managing deployments in one central dashboard is an incredibly smart setup.

This solves a real pain point with AI coding agents. Turning agent output into a live, shareable project is super useful. 🔥

This solves a real pain point for AI coding agents.

That’s the missing piece. From chat to live in one step.

Love the integration with Claude Code and Cursor. This makes the entire end-to-end coding process feel complete. 💯

AI coding agents are getting crazy good, but deployment and version control still need to be painless. Showly AI looks interesting.

This is exactly how we get closer to a truly AI-native development workflow. Thanks for sharing this gem! 💎

✔️💖

So basically chat->deploy for frontend? Does it handle secrets, wiring, DBs, backends & other services like

The deploy + rollback workflow is a game changer. AI can build the project, and Showly AI makes getting it live and shareable much easier. 🚀

urning agent output into a live, shareable project is super useful

