Agie Support

Support for builders, not tickets.

A human + AI support layer that meets you where you are – from docs and community to direct inbox help for mission-critical workloads.

How Agie supports your build

Whether you're validating an MVP or shipping enterprise-grade systems, choose the level of support that matches your runway.

Fast answers

Start with docs and community threads for instant answers to common questions, patterns, and best practices.

High-touch help

For production incidents or architecture questions, talk directly to humans who build and run Agie every day.

Documentation

Detailed guides, API references, and tutorials to help you build.

Email Support (contact@agie.dev)

Direct line to our engineering team for account issues.

Community (Discord)

Ask questions, share projects, and get help from the community and team.

Product feedback (GitHub)

Report bugs, request features, and track what we are building.

Connect with Agie

Follow along for updates, tutorials, and community announcements. For private support, email contact@agie.dev.

GitHub

Releases, issues, and product feedback.

TikTok

Short demos, behind-the-scenes, and quick tips.

Instagram

Build highlights and announcements.

YouTube

Long-form tutorials and walkthroughs.

Discord

Community help, announcements, and support threads.

Frequently Asked Questions

How does the AI code generation work?
Agie uses advanced LLMs (like Claude 3.5 Sonnet, Gemini 3, and GPT-5) to understand your natural language descriptions and convert them into production-ready code, file structures, and database schemas.
Do I own the code I generate?
Yes, 100%. You retain full ownership of all code, assets, and intellectual property generated within Agie. You can export it, sell it, or open-source it.
Can I deploy my apps?
Absolutely. We offer one-click deployment to major providers like Netlify and Vercel, or you can export the code to deploy on your own infrastructure.
Is there a free tier?
Yes! We offer a generous free tier that lets you build and experiment. You only pay when you need higher limits or advanced enterprise features.