withvibe
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Comparison

WithVibe vs. Devin

These two tools answer different questions. Devin asks: what if you could delegate engineering tasks to an autonomous agent? WithVibe asks: what if your whole team — including non-engineers — could build together with an AI, safely? Here's an honest comparison. We build WithVibe, every Devin claim below comes from Cognition's own site and docs, and we've linked the sources at the bottom.

DimensionDevinWithVibe
What it isAutonomous “AI software engineer” — delegate a task, it plans, codes, and opens a PRShared AI development environment — your team builds with an AI, together
Who hosts itCognition. Enterprise option moves execution sandboxes to a Cognition-hosted single-tenant VPCYou — any Docker host on your own infrastructure
Intelligence layerAlways runs in Cognition's cloud (per their deployment docs)Your deployment, calling the model with your own API key
Source codeProprietaryOpen source — GNU AGPL-3.0
Session modelOne autonomous agent per task; parallel “team of Devins” for big jobsMulti-human shared session — PM, engineer, and QA in one env with one AI
Review before mergePR review features; your existing processBuilt-in agent gate (security, code review, tests, policy) + human approval
Who can drive itEngineers managing agent fleetsEngineers and non-engineers — PMs, sales, support
PricingFree tier; Pro $20/mo; Max $200/mo; Teams $80/mo + $40/developer; Enterprise customFree to self-host (bring your own model API key); hosted tier in the works

Devin details verified against Cognition's public pages on June 11, 2026. Pricing and deployment options change — check the sources below for current terms.

What Devin is genuinely good at

Devin is the most mature autonomous coding agent on the market. You hand it a ticket — a migration, a bug, an incident — and it plans, writes, tests, and opens a pull request, end to end. It integrates with GitHub, Linear, Slack, Datadog and dozens more, learns your codebase over time, and can run parallel agents on large jobs. If your goal is taking repetitive engineering work off your team's plate, Devin is the reference point.

Where WithVibe is different

WithVibe isn't an autonomous backlog-burner — it's a place. A teammate spins up an isolated environment with your real repo inside, works with the AI, and other humans join the same session: a PM directing, an engineer steering, QA testing the live app. Every change passes the agent gate and human approval before it reaches main. And it runs entirely on your infrastructure, open source under the AGPL-3.0.

The three differences that decide it

1. Where your code and prompts go

Per Cognition's deployment documentation, Devin's intelligence layer (“the brain”) always runs in Cognition's cloud — the enterprise “Customer Dedicated” option places execution sandboxes in a single-tenant VPC, but that VPC is hosted by Cognition and your prompts still flow through their service. There is no fully self-hosted Devin. WithVibe is the opposite architecture: the whole stack runs on your Docker host, and the only external call is to the model API with your own key. If “code never leaves our network” is a hard requirement, this difference ends the evaluation.

2. One agent working alone vs. a team working together

Devin's unit of work is the delegated task: an agent goes away and comes back with a PR. WithVibe's unit of work is the shared session: humans and the AI iterating together on a live, running app, visible to everyone invited. That's also why WithVibe is usable by PMs, sales, and support — driving a conversation in a shared environment is a different skill than managing a fleet of autonomous agents.

3. Proprietary product vs. open source

Devin is closed source — you evaluate it from the outside. WithVibe is open source under the AGPL-3.0: read the code, audit the agent gate, modify it, and self-host without asking anyone. The cost models follow from this: Devin is a subscription (Teams at $80/month plus $40 per developer, as of June 11, 2026); self-hosted WithVibe is free software plus whatever you spend on model usage.

Choose Devin if…

  • You want to delegate well-defined engineering tasks to autonomous agents at scale
  • A managed service (or Cognition-hosted VPC) satisfies your security requirements
  • Your builders are all engineers, and maturity + integrations matter most

Choose WithVibe if…

  • Code, prompts, and transcripts must stay on infrastructure you control
  • You want non-engineers building too — with an agent gate in front of production
  • Open source is a requirement, or bring-your-own-key economics fit better

Common questions

Is Devin self-hosted?

No. Per Cognition's deployment documentation, Devin's intelligence layer always runs in Cognition's cloud. The enterprise tier offers a “Customer Dedicated” deployment where execution sandboxes run in a single-tenant VPC, but that environment is hosted by Cognition — there is no on-premise or fully self-hosted option.

Is there an open-source alternative to Devin?

For Devin-style autonomous task execution, OpenHands is the closest open-source project. For the team workflow — shared sessions with a review gate — that's WithVibe. We compare both, honestly, in our guide to self-hosted AI coding agents for teams.

Can WithVibe run tasks autonomously like Devin?

Not in the fire-and-forget sense, by design. WithVibe centers humans steering the AI in a shared session; its autonomous agents do the reviewing — the agent gate runs security, code-review, test, and policy agents on every change before merge. If you want unattended agents grinding through a backlog, Devin or OpenHands fit that shape better.

Try the shared-session way

One Docker host, five minutes, your real repo. Free and open source.

Sources for Devin claims (retrieved June 11, 2026): devin.ai/pricing, docs.devin.ai — Enterprise Deployment, devin.ai. Devin is a product of Cognition AI; all trademarks belong to their owners.