changkun

changkun / wallfacer

Public

🧠 Kanban-based Multi-Clauding Orchestration

37
2
100% credibility
Found Feb 23, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Go
AI Summary

Wallfacer provides a visual Kanban board for creating, running, and managing AI-powered coding tasks in isolated environments with automatic git integration.

How It Works

1
🚀 Launch your task board

Open the web app in your browser to see columns like Backlog, In Progress, and Done.

2
🔑 Connect your AI helper

Enter details for your AI coding assistant so it can understand your tasks.

3
📁 Add your projects

Select folders with your code so the AI works safely on copies without touching originals.

4
💡 Create task cards

Type what you want done, like 'fix login bug', and add cards to the Backlog.

5
🏃 Drag to start working

Slide a card to In Progress – your AI jumps into action in its own secure space, updating live.

6
👀 Review and guide

Watch results appear; chat back if needed or mark done to blend changes into your project.

✅ Projects updated!

Cards reach Done with your code improved, changes saved automatically and ready to use.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 23 to 37 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is wallfacer?

Wallfacer is a Go app turning Claude Code into a kanban-based multi-clauding orchestration tool, inspired by the wallfacer project from the 3 Body Problem where secret wallfacer plans counter existential threats. Mount your git repos as workspaces, create task cards in a web UI, drag to "In Progress" for isolated Podman/Docker sandboxes with per-task git worktrees, and get auto-commits, live logs, and diff previews. It solves the chaos of juggling AI coding sessions across projects without conflicts or token waste.

Why is it gaining traction?

Parallel tasks run safely via git worktrees, human feedback resumes waiting cards, and multi-workspace mounts let Claude reference everything at once—far beyond raw Claude Code terminals. Usage tracking, event timelines, and SSE streams make wallfacer meaning tangible for real workflows, while OAuth/API key setup and model pinning just work. Devs dig the self-bootstrapped vibe: Claude built half its features.

Who should use this?

Go backend devs prototyping features across monorepos, or full-stack hackers tired of manual git dances in Claude chats. Ideal for solo wallfacer plans in multi-project setups, like "wallfacer deutsch" localization tasks or "fred again" remix pipelines needing quick AI iterations.

Verdict

Try wallfacer run for Claude-heavy coding—quickstart shines, docs cover edge cases. 19 stars and 1.0% credibility signal early days, but clean Go tests and architecture make it a low-risk experiment over fragmented scripts.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.