KANBAII: A Visual Kanban Board Built with Claude Code for AI-Assisted Development

✍️ OpenClawRadar📅 Published: March 31, 2026🔗 Source
KANBAII: A Visual Kanban Board Built with Claude Code for AI-Assisted Development
Ad

What KANBAII Does

KANBAII is a visual kanban board that sits on top of Claude Code, built entirely through Claude Code sessions over about two months. The developer created it to manage projects with 20+ work items without living in the terminal.

Technical Implementation

The complete codebase includes backend, frontend, CLI, and agent orchestration components. The frontend uses Next.js with Socket.IO for real-time drag-and-drop functionality.

Core Features

  • Visual kanban board with drag-and-drop interface
  • AI planner that converts natural language descriptions into structured tasks using Claude
  • "Ralph" mode: Claude Code executes one work item end-to-end
  • "Teams" mode: A Claude-driven coordinator runs multiple work items in parallel using a worker pool
  • 100% local operation with data stored as JSON on disk
  • MIT licensed and free
Ad

Claude Code Integration

At runtime, Claude Code is involved in several ways:

  • The AI planner uses Claude to decompose descriptions into work items
  • Ralph mode spawns Claude Code as a subprocess to execute each task
  • Teams mode uses a Claude coordinator for parallel execution
  • An MCP server bridges Claude and the board for escalation and task updates

Installation and Usage

Install via npm: npm install -g kanbaii then run kanbaii start. The tool gained 1500 installs in its first 48 hours without marketing.

The developer is seeking feedback from daily Claude Code users about missing features, what doesn't work, and what would make it useful for their workflows.

📖 Read the full source: r/ClaudeAI

Ad

👀 See Also

SourceBridge: Open-source tool for codebase analysis using local LLMs
Tools

SourceBridge: Open-source tool for codebase analysis using local LLMs

SourceBridge is an open-source tool that indexes Git repositories into symbol graphs and uses local LLMs to generate codebase summaries, architecture walkthroughs, and learning materials. It supports multiple local backends including Ollama, llama.cpp, vLLM, LM Studio, and SGLang via OpenAI-compatible APIs.

OpenClawRadar
onWatch: Open-source local API quota tracker with SQLite storage
Tools

onWatch: Open-source local API quota tracker with SQLite storage

onWatch is a local-first API quota tracker that stores all data in a local SQLite database with no cloud service, telemetry, or account creation. It's a single binary (~13MB) that runs as a background daemon using <50MB RAM and serves a dashboard on localhost.

OpenClawRadar
PocketTeam: A Claude Code Pipeline with Hook-Based Safety and Learning Agents
Tools

PocketTeam: A Claude Code Pipeline with Hook-Based Safety and Learning Agents

PocketTeam is a Claude Code pipeline that implements 9 safety layers at the tool-call level to block dangerous operations like writes to .env or rm -rf commands. The system includes an Observer agent that analyzes completed tasks and writes structured learnings to improve future agent performance.

OpenClawRadar
Scaling Karpathy's Autoresearch with 16 GPUs: Results and Methods
Tools

Scaling Karpathy's Autoresearch with 16 GPUs: Results and Methods

The SkyPilot team gave Claude Code access to 16 GPUs on a Kubernetes cluster to run Karpathy's Autoresearch project. Over 8 hours, the agent submitted ~910 experiments, reduced validation bits per byte from 1.003 to 0.974 (2.87% improvement), and reached the best validation loss 9x faster than sequential execution.

OpenClawRadar