Build a voice AI agent in minutes, straight from your terminal. One command scaffolds your project with built-in tunneling, sample backends, and global edge deployment. Connect via webhook, use existing agent logic, pay only for speech (silence is free).
I’m Damien, CEO & co-founder of Layercode. I’ve spent the last 20 years building infrastructure and dev tools (as well as drones and sometimes, electric motorcycles). Most recently, I’ve been obsessed with talking to computers.
Building voice AI agents is tricky, and there’s lots to remember and setup, even when developing locally. So we built Layercode CLI — a command-line interface designed to help you get started with a voice AI agent in minutes.
It’s super easy to get started:
Run `npx @layercode/cli init`
Authenticate with your Layercode account and choose a template
Then, our CLI sets up your tunnel and webhook URLs for local development.
(we’ve tried to make it easy to build and deploy from there, too, more info on where to go next in our full quickstart guide: https://docs.layercode.com/tutor...)
What you get with Layercode CLI:
- Zero to production in minutes: Initialize a voice AI agent with one command, and get real-time speech-to-text (STT), text-to-speech (TTS), turn-taking, and low-latency audio delivery to our global edge network.
- Built-in tunneling: Test locally using our integrated tunnel — no need for copy-pasting your webhook urls into our dashboard.
- Sample agent backend: Backend logic receives conversation transcripts and responds based on your prompt and the tool calls you define. Deployable anywhere.
- Complete backend control: Use any LLM, and control your own agent logic and tools — Layercode handles all of the voice infrastructure.
- Edge-native voice AI deployment: Layercode is deployed to 330+ locations that process audio within ~50ms of users, anywhere in the world.
We’d love feedback from anyone building agents — especially if you’re experimenting with voice.
What feels smooth? What doesn't? What’s missing for your projects?
Congrats on launching Layercode CLI! This sounds like a game-changer for voice AI development, especially with the seamless setup and edge-native deployment features.
I’m curious, how’s the initial response been? Are you focusing on any specific marketing goals or strategies to get the word out? Would love to hear more about how you're planning to promote it!
This is great. We're looking at something like this to collect info from clients vs form builders.
@aidanhornsby This is great - we're looking at something like this to collect info from clients vs form builders.
Looks awesome! Can Layercode fallback to non-voice mode (e.g. text), if voice is not available for some reason?
Nice!
I used you guys on a personal project a while back and loved the output, but connecting it up to my existing backend obviously had some manual steps and upkeep. Can I be lazy and ask for your summary of how this helps existing backends / ongoing development? Or if you have any opinions of where the CLI will go next that would be useful to know.
Hey, we’re excited for people to try out the new CLI as it helps you get up and running much faster than before. Plus the tunnel command is a genuine quality of life improvement for day to day dev-ing
Curious if any CLI tools inspired you when building @Layercode CLI? ?makers
Enjoy your launch day, and keep up the great work.
Hey Product Hunters!
We also just launched a startup program designed to help early-stage teams building voice AI experiences.
If you’re a startup building voice AI agents or features: we're offering $2,000 in free credits, a direct line to our dev team for support building, and priority access to test new models and features.
Hey Product Hunt 👋
I’m Damien, CEO & co-founder of Layercode. I’ve spent the last 20 years building infrastructure and dev tools (as well as drones and sometimes, electric motorcycles). Most recently, I’ve been obsessed with talking to computers.
Building voice AI agents is tricky, and there’s lots to remember and setup, even when developing locally. So we built Layercode CLI — a command-line interface designed to help you get started with a voice AI agent in minutes.
It’s super easy to get started:
Run `npx @layercode/cli init`
Authenticate with your Layercode account and choose a template
Then, our CLI sets up your tunnel and webhook URLs for local development.
(we’ve tried to make it easy to build and deploy from there, too, more info on where to go next in our full quickstart guide: https://docs.layercode.com/tutor...)
What you get with Layercode CLI:
- Zero to production in minutes: Initialize a voice AI agent with one command, and get real-time speech-to-text (STT), text-to-speech (TTS), turn-taking, and low-latency audio delivery to our global edge network.
- Built-in tunneling: Test locally using our integrated tunnel — no need for copy-pasting your webhook urls into our dashboard.
- Sample agent backend: Backend logic receives conversation transcripts and responds based on your prompt and the tool calls you define. Deployable anywhere.
- Complete backend control: Use any LLM, and control your own agent logic and tools — Layercode handles all of the voice infrastructure.
- Edge-native voice AI deployment: Layercode is deployed to 330+ locations that process audio within ~50ms of users, anywhere in the world.
We’d love feedback from anyone building agents — especially if you’re experimenting with voice.
What feels smooth? What doesn't? What’s missing for your projects?