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doQment

doQment

Turn websites into ephemeral MCP servers! From docs, to code

Website brickcoder.vercel.app
Overview

What it is

Compose modular AI agents with drag-and-drop blocks. Connect backends, frontends, and goal-based logic. Export clean code or deploy instantly.

Intent

I need it when

Export AI agent code for use in existing development stacks

BrickCode AI allows users to export clean, usable code from visual agent designs, enabling integration into existing codebases and deployment pipelines rather than forcing vendor lock-in.

Build custom AI agents without writing boilerplate code from scratch

BrickCode AI provides drag-and-drop LEGO-like blocks to compose modular AI agents, allowing developers to assemble agents visually and export clean code or deploy instantly, reducing development time and complexity.

Connect multiple backends and frontends into a single goal-based AI workflow

The platform enables composition of modular blocks that connect backends, frontends, and goal-based logic together, letting teams integrate disparate systems into cohesive AI agent behavior.

Rapidly prototype and iterate on AI agent designs with visual feedback

The drag-and-drop block interface provides immediate visual composition and testing of agent logic, enabling faster iteration cycles compared to traditional code-first AI development approaches.

Drop

Not a fit when

  • User needs established, production-ready AI agent platform with proven enterprise support and SLAs
  • Organization requires transparent, publicly documented pricing and contract terms before evaluation
  • Team lacks technical expertise to work with modular code blocks and drag-and-drop interfaces
  • Project requires integration with legacy systems that do not support modern API-based connections
  • User needs real-time customer support and comprehensive documentation beyond what a beta/early-stage product offers
Commercials

Pricing

Pricing not specified