Leap builds full-stack applications with real infrastructure and deploys them to your AWS or GCP cloud. For developers who want AI speed without sacrificing control over architecture, APIs, or deployment.
We built Leap after trying every other AI app builder and hitting the same walls: limited to single-page apps, locked into specific BaaS platforms, and no support for production workflows.
These tools also lack proper isolated test environments, which limits control over deployment. Approving a buggy SQL migration, for example, could impact your production database.
That works for some use cases, but as developers, we wanted support for more advanced infrastructure and architectures.
These may not be flaws. The tools seem designed for non-developers who prioritize simplicity and may not need advanced features. But we wanted something different.
A tool built for developers who want the speed of AI without giving up control of their architecture, APIs, infrastructure, or deployment.
So what makes Leap different?
You still start from a prompt, but after that, the workflow is developer-first:
- You can iterate using versions and diffs. - Apps use Encore.ts for the backend. It's our open-source framework, trusted by thousands and with 10k GitHub stars (https://github.com/encoredev/encore). - It generates live architecture diagrams and API documentation, so you understand what you're building even when much of it is generated by AI. - Manual code edits are of course supported. - The framework includes a declarative infrastructure layer, like a cloud-agnostic version of AWS CDK, enabling Leap to set up infra for microservices, databases, pub/sub, and more in about 1–2 seconds. - The preview environment you work in is completely isolated from prod. - For deployment, you can use open-source tools to package the app into Docker containers and deploy anywhere. - Or use Encore Cloud to manage deployments and infra provisioning in your AWS or GCP cloud.
Leap isn't meant to replace every workflow or tool right away. We expect it to be most useful for spinning up new projects or building isolated systems within an existing product.
We built Leap because nothing else met our needs as developers. Now that we're starting to welcome users, I'd love to hear your thoughts:
- Does this solve any development or deployment pain you've experienced? - What would you need to confidently use this to build production-grade apps? Your feedback will help shape Leap!
Guys... this is incredible. Just tested it out and I'm in love. One of my favorite stacks outside of Django. Let me know how I can help spread the word. I don't think enough people know about Encore yet, but it's incredibly undervalued.
Thanks @codenprose! I think word of mouth is generally how more folk with hear about it, so posting what you're building and spreading the word really helps!
Leap is the first AI builder that truly understands what developers need - full control over architecture while still getting the speed benefits of AI. It's refreshing to finally have a tool that deploys to my own cloud infrastructure instead of locking me into yet another platform.
Encore
Hey PH,
We built Leap after trying every other AI app builder and hitting the same walls: limited to single-page apps, locked into specific BaaS platforms, and no support for production workflows.
These tools also lack proper isolated test environments, which limits control over deployment. Approving a buggy SQL migration, for example, could impact your production database.
That works for some use cases, but as developers, we wanted support for more advanced infrastructure and architectures.
These may not be flaws. The tools seem designed for non-developers who prioritize simplicity and may not need advanced features. But we wanted something different.
A tool built for developers who want the speed of AI without giving up control of their architecture, APIs, infrastructure, or deployment.
So what makes Leap different?
You still start from a prompt, but after that, the workflow is developer-first:
- You can iterate using versions and diffs.
- Apps use Encore.ts for the backend. It's our open-source framework, trusted by thousands and with 10k GitHub stars (https://github.com/encoredev/encore).
- It generates live architecture diagrams and API documentation, so you understand what you're building even when much of it is generated by AI.
- Manual code edits are of course supported.
- The framework includes a declarative infrastructure layer, like a cloud-agnostic version of AWS CDK, enabling Leap to set up infra for microservices, databases, pub/sub, and more in about 1–2 seconds.
- The preview environment you work in is completely isolated from prod.
- For deployment, you can use open-source tools to package the app into Docker containers and deploy anywhere.
- Or use Encore Cloud to manage deployments and infra provisioning in your AWS or GCP cloud.
Leap isn't meant to replace every workflow or tool right away. We expect it to be most useful for spinning up new projects or building isolated systems within an existing product.
We built Leap because nothing else met our needs as developers. Now that we're starting to welcome users, I'd love to hear your thoughts:
- Does this solve any development or deployment pain you've experienced?
- What would you need to confidently use this to build production-grade apps?
Your feedback will help shape Leap!
looks and sounds great!
Leap
Thanks @jason_chernofsky, appreciate it!
Encore
Thanks @jason_chernofsky !
Guys... this is incredible. Just tested it out and I'm in love. One of my favorite stacks outside of Django. Let me know how I can help spread the word. I don't think enough people know about Encore yet, but it's incredibly undervalued.
Encore
Thanks @codenprose! I think word of mouth is generally how more folk with hear about it, so posting what you're building and spreading the word really helps!
@marcus_kohlberg2 sounds good, will do.. I've got something brewing, will share this weekend.
Encore
Can't wait @codenprose !