惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

罗磊的独立博客
大猫的无限游戏
大猫的无限游戏
WordPress大学
WordPress大学
酷 壳 – CoolShell
酷 壳 – CoolShell
T
Tailwind CSS Blog
Engineering at Meta
Engineering at Meta
MongoDB | Blog
MongoDB | Blog
爱范儿
爱范儿
小众软件
小众软件
MyScale Blog
MyScale Blog
美团技术团队
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
S
SegmentFault 最新的问题
G
Google Developers Blog
Stack Overflow Blog
Stack Overflow Blog
V
V2EX
量子位
云风的 BLOG
云风的 BLOG
A
About on SuperTechFans
阮一峰的网络日志
阮一峰的网络日志
Last Week in AI
Last Week in AI
Martin Fowler
Martin Fowler
C
Check Point Blog
月光博客
月光博客

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
If You're Running Multiple Coding Agents, Superset Is the...
Jason Schwar · 2026-04-28 · via DEV Community

If you're already running multiple coding agents in parallel, you've probably hit the wall. Three Claude Code sessions in three terminal tabs, agents stepping on each other's files, no clean way to review what each one built. The workflow works in theory and falls apart in practice.

Superset is built for exactly this. It's an open-source IDE designed from the ground up to orchestrate multiple CLI-based coding agents in parallel, each in its own isolated git worktree.

Quick caveat before I get into it. I have real concerns about how multi-agent workflows are being adopted across the industry, especially when speed becomes the only metric. I wrote about that here. But this post isn't that conversation. This post is for the engineers and teams who are running multi-agent workflows already and want better tooling for it. Superset is that tool.

What it actually does

Each agent gets its own git worktree. Same repo, same history, separate working directory, separate branch. Agent A modifying a file does not affect Agent B. They cannot collide because they are not in the same place. When you're ready, you merge what you want and discard what you don't.

A unified dashboard shows every active agent, what it's touching, and notifies you when one needs your attention. No more flipping between terminal tabs hunting for activity.

The built-in diff viewer is the part I didn't expect to like as much as I do. Side-by-side, syntax highlighted, every agent's changes in one place. You can actually review what got built before it merges.

It's agent-agnostic. Claude Code, Codex, Cursor Agent, Gemini CLI, GitHub Copilot, OpenCode. Whatever you already use, Superset orchestrates around it. Your keys, your models, your providers. Local-first.

The setup that matters

Drop a setup script in your repo at .superset/setup.sh:

#!/bin/bash
# .superset/setup.sh
cp ../.env .env
bun install
echo "Workspace ready!"

Enter fullscreen mode Exit fullscreen mode

Now every new agent workspace gets a clean, configured environment automatically. Dependencies installed, env vars copied, ready to go. This is the kind of thing you'd build yourself eventually. Superset just makes it the default.

Open source, and actually active

This part matters. Superset isn't a closed-source SaaS with a free tier. The full source lives on GitHub under Apache 2.0. You can read it, fork it, contribute to it, or run your own build.

The repo is one of the more active developer-tool projects I've watched recently. Over 10k stars, 50+ contributors, 100+ releases, 1000+ commits. The team ships constantly. Open issues get triaged fast. PRs get reviewed and merged on real timelines, not the "we'll get to it eventually" pace a lot of open-source projects fall into.

The Discord is good too. Engineers actually using the tool, not just lurkers. The founding team (Avi, Kiet, and Satya) shows up there directly. I've seen feature requests turn into shipped code in days. That kind of responsiveness is rare and worth supporting.

If you're going to bet on a tool for your daily workflow, you want one where the team is reachable and the project is moving. Superset is both.

The gotcha

The git worktree model is the whole game. If you've never worked with worktrees before, the mental shift is small but real. Each agent is in its own directory at its own branch. Changes don't propagate until you merge. You stop thinking about agents as sessions and start thinking about them as parallel branches with someone else doing the work.

Once that clicks, the tool gets out of your way. Which is what you want from an IDE.

One-click handoff to your editor is the other thing worth flagging. VS Code, Cursor, Xcode, JetBrains. Open any worktree where you actually want to work on it. The orchestration layer doesn't try to replace your editor, it just feeds it cleanly.

Wrap

If you're running multi-agent workflows, you should be running them in Superset. The worktree isolation, the diff viewer, and the velocity of the project itself are all reasons to install it today. Star the repo, join the Discord, follow the team on X.

What are you running it with? Drop your setup in the comments.


Mentioned in this post:

More from me: