app.build is an open-source AI agent for generating production-ready applications with testing, linting and deployment setup from a single prompt. This agent relies heavily on scaffolding and extensive validation to ensure high-quality outputs.
There are two generations of this agent:
Original standalone agent located in ./agent/ directory (no longer actively maintained). This version can still be used and forked, it is designed to generate CRUD applications on three stacks: (TypeScript + tRPC + Drizzle + React, Python + NiceGUI + SQLModel, PHP + Laravel). The managed service has been discontinued.
See agent/README.md for setup and some usage instructions.
Work report is available on arXiv.
It is located in ./edda/ directory (under active development). The purpose of this version is to build a more robust architecture with a focus on data applications (dashboards, analytics, data-driven tools).
Unlike the Python version, it is available not only as a standalone agent but also as a MCP powering your favorite agents (like Claude Code) or being wrapped into custom agents programmatically (see klaudbiusz/cli/codegen.py for the example of using with Claude Agent SDK).
Prerequisites:
- OCI-compatible container runtime (Docker, OrbStack, Podman...) must be installed and running for Dagger-based sandboxed execution
Try it out!
curl -LsSf https://raw.githubusercontent.com/appdotbuild/agent/refs/heads/main/edda/install.sh | sh
and attach to your favorite MCP client, e.g. Claude Code:
claude mcp add --transport stdio edda -- ~/.local/bin/edda_mcp
Set Databricks environment variables (required for app generation):
export DATABRICKS_HOST=https://your-workspace.cloud.databricks.com
export DATABRICKS_TOKEN=dapi...
export DATABRICKS_WAREHOUSE_ID=your-warehouse-idThen start using it with Claude Code:
# Create project dir
mkdir ~/dbrx-sales-by-region && cd ~/dbrx-sales-by-region
# Check the 'edda' MCP is available fo claude
claude mcp list
# Run sample app generation
claude "Create a Databricks app that shows daily sales by region"To deploy to Databricks (optional, requires write to /usr/local/bin), install Databricks CLI:
curl -fsSL https://raw.githubusercontent.com/databricks/setup-cli/main/install.sh | sudo shGot any problems during usage? Prepare a bug report:
edda_mcp yell [optional comment]
If you use this work in your research, please cite our paper:
@misc{kniazev2025appbuildproductionframeworkscaling,
title={app.build: A Production Framework for Scaling Agentic Prompt-to-App Generation with Environment Scaffolding},
author={Evgenii Kniazev and Arseny Kravchenko and Igor Rekun and James Broadhead and Nikita Shamgunov and Pranav Sah and Pratik Nichite and Ivan Yamshchikov},
year={2025},
eprint={2509.03310},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2509.03310}
}Supported by Neon and Databricks.
Built to showcase agent-native infrastructure patterns. Fork it, remix it, use it as a reference for your own projects.