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Built for AI coders beyond the initial prototype, BrainGrid helps you:
  • Build features without breaking things
  • Tackle more complex functionality with structured plans
  • Build a well-structured and more maintainable application
  • Ship faster with less bug fixing and rework

The Workflow

AI coding tools are powerful, but they struggle with vague instructions. They go off-track, miss requirements, and need constant hand-holding. BrainGrid is like an AI Tech Lead that brings clarity and structure with a proven workflow to ship reliable software. The workflow is simple, yet powerful:
1

Start with a rough idea

Start with a rough idea, a high level concept, or a problem to solve.
Start with a rough idea
2

Refine it with AI into a detailed specification

Click Refine to refine the rough idea with AI into a detailed specification.
Refine the rough idea with AI into a detailed specification
BrainGrid asks clarifying questions to define the scope and uncover edge cases. Upon completion, the basic prompt is refined into a full technical requirement with feature requests. This can be edited manually, or work with the AI to update the requirement.
Review and edit the refined solution. Once you are happy, accept the requirement.
In this example, the simple prompt has been expanded to include:
  • Overview
  • Actors
  • Data Model Changes
  • 6 Functional Requirements
  • API Contract
  • New Files
  • Environmental Variables
  • 10 Acceptance Criteria
3

Let your AI coding tool build it reliably

Automatically build the requirement with your AI coding tool.You can feed tasks via the MCP, CLI, or just copy paste them into your AI coding tool.
Claude Code or Cursor
/build REQ-8
BrainGrid and your AI coding tool will build the code required to complete the requirement. Under the hood:
  • New GitHub branch
  • Tasks are created
  • Completes the coding for the tasks.
  • Updates BrainGrid with the tasks shown as completed.
BrainGrid UI showing tasks completed.
  • Commits the code to the Github repository.
Each stage adds structure, so by the time your AI starts coding, it knows exactly what to build and how to verify it’s correct.

Getting Started