DevSwarm: Next-Gen Parallel Coding for the AI Age

Meet DevSwarm

DevSwarm lets you run multiple AI coding assistants in parallel on Mac and Windows, each isolated on its own branch. Work with your favorite CLI agents (e.g. Claude Code, Gemini, Aider) and stay in control from start to merge. It’s an AI-first development environment designed to make parallel exploration and clean review the default, not the exception. And choose local models for a fully offline, on-device workflow.

The AI Era Needs a New Kind of Environment

Most IDEs were built for a world where developers wrote every line themselves. They optimize for a single stream of work: one developer, one repo, one branch, one problem. High-velocity engineers work differently now:

• Work on many features, bugs, or ideas at once by running multiple AI assistants concurrently
• Branch frequently to test alternative implementations without risk
• Compare suggestions across assistants with branch isolation
• Maintain visibility, reliability, and control when working with AI-generated code
• Work fully offline with Aider or Goose using local models (e.g., Qwen 3)

Teams like ours ended up bouncing between tools, juggling tabs, copying output from chats into editors, managing ports by hand, and inventing branch names to track AI changes. It was inefficient and it broke flow. These environments were never intended to support multi-agent, multi-branch development.

We felt this friction every day. We wanted parallel agent workflows, automatic branch isolation, and a consistent coder-in-the-loop model. So we built DevSwarm. Once we used it, it did more than speed us up. It changed the way we build software.

True Parallel on Your Desktop

This is true parallel, simultaneous development. Spin up multiple assistants at once, each exploring a different approach on its own isolated branch. You orchestrate everything locally on your desktop, not backgrounded to someone else’s cloud. Compare results, test quickly, and pick the best path with full control.

“I routinely run 6 to 8 parallel builders with Claude Code in DevSwarm on non‑trivial work. I can pursue multiple features, fix bugs, and review PRs at the same time without losing context.”
— Trevor Dilley, CTO of DevSwarm

Not Another IDE. An ADE.

Most tools jam AI into an IDE. That isn't an AI-first foundation. An Augmented Development Environment (ADE) is orchestration-first, parallel at its core, and assistant-agnostic. It is built on branch isolation, code lineage, and continuous review. Parallel is in the DNA.

If any of this sounds familiar, you have felt the old model’s limits:

• Copying AI output from a browser into your editor
• Losing track of which branch an assistant changed
• Accidentally overwriting working code while testing a suggestion
• Fighting fragile DIY setups to run agents in parallel and fix port conflicts
• Wishing you could easily pit multiple agents against a bug and pick the best result

DevSwarm flips the workflow. Each approach runs on its own branch, mirroring solid production practice. You stay local and in control, multitask with ease, and compare/choose diffs quickly when needed. You can open any branch in your preferred IDE with one click, though in practice we usually review and edit directly in DevSwarm.

How It Fits Your Workflow

DevSwarm is built for multi-stream work. Start a fix, let the first builder run, then spin up a refactor and a feature spike. Jump between them as feedback is needed, adjust prompts, review diffs, run tests, and keep each effort moving. Every stream lives on its own branch, so progress is safe and comparable, and the hotkey-builder-switching lets you switch with ease.

And teams use DevSwarm to keep many tracks moving at once, from hotfixes and migrations to multi-service changes, incident response, and QA. Branch isolation and clear context make parallel work easier to review, safer to merge, and simpler to coordinate.

Parallel is the serial killer. When everyone can explore in parallel and cone together through reviews, teams move faster without sacrificing quality.

Quick Start

1. Download and install DevSwarm, then sign in with Google or GitHub.
2. Open or create a repo
3. Start a builder with your favorite assistant (e.g. Claude Code)
4. Jump between streams: review diffs, adjust prompts, run tests.
5. Push PRs from ready branches and merge.

You can be running your first swarm in minutes.

The High-Velocity Engineering (HiVE) Paradigm

DevSwarm is built for High Velocity Engineering (HiVE) as opposed to vibe coding. HiVE coding keeps the coder in the loop and pairs speed with correctness through parallel runs, branch isolation, and the freedom to choose the right assistants for the task. It turns exploration into small, reviewable changes that ship cleanly. For the full concept behind HiVE coding, see our HiVE post.

Proven on Real Projects

We built DevSwarm with DevSwarm. Parallel builders became our default for spikes, refactors, and hard bugs. It changed our habits fast: more progress across multiple tracks, tighter PRs, and smoother reviews.

As a team that runs Twenty Ideas, one of the largest tech agencies in Oregon, we've shipped software in healthcare, education, and enterprise for over a decade. We dogfood on real deadlines with production standards. We ship tools that pass code review, audits, and uptime expectations.

Why we could build this

• Production experience in high-stakes domains
• Daily AI usage across diverse stacks and workflows
• Built on real constraints: security, compliance, maintainability, and speed

Ready, Set, Swarm

We’re listening as we continue to evolve DevSwarm. Try it on real projects, push it, and tell us what works, what doesn’t, and what should come next. We love ideas!

Built by developers who knew there was a better way, DevSwarm is our answer. It is not just a product. It is a new paradigm. Speed without sacrifice.

Download DevSwarm Beta for free and get immediate access. Have questions? See our FAQ or Contact Us. And stay up-to-date on LinkedIn & Twitter/X.

Code Intelligent.