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JuhJuh vs Devin

A person on every merge. Devin works through engineering tasks on its own. JuhJuh agents work alongside every team, and a person decides what ships.

TL;DR

  • Approach: Agents with a person on every consequential step
  • Safety: 5 safety gates, and code never merges on its own
  • Who it serves: Every team: engineering, support, operations, sales and finance
  • Transparency: A live view of the agent's screen, and an audit trail of every action
Feature by feature

How JuhJuh compares to Devin.

Feature comparison between JuhJuh and Devin
Dimension JuhJuh Devin
Approach Agents with a person on every consequential step An autonomous AI software engineer
Safety 5 safety gates, and code never merges on its own Its own sandboxed environment, with pull requests for review
Who it serves Every team: engineering, support, operations, sales and finance Engineering teams
Transparency A live view of the agent's screen, and an audit trail of every action A session view of its work
Cost Every reply priced to the token and billed to the workspace that asked Subscription plans with included usage
Standard Templates, five rule levels and practices that lock when the spec is approved Its own knowledge and playbooks
Models The latest models from every leading AI company, pinned per agent A choice of models from several AI companies, depending on plan
Integrations 200+ ready-made connections across 23 categories Slack, Teams, Git hosts, Jira, Linear and MCP
Deployments One-step rollback and a vault per environment Built-in deploys for new apps, and your own setup for existing ones
Works with Devin

Keep what works. Add agents that deliver.

JuhJuh keeps a person in control wherever it matters. Code passes 5 safety gates before production, a second model reviews every change, and the merge belongs to a person.

  • A person approves anything consequential, and code never merges on its own.
  • Every reply is priced to the token and billed to the workspace that asked.
  • 200+ ready-made connections across 23 categories.

Ask

Ask in a channel or file a ticket. The right agent picks it up and hands back the work.

Stay safe

Work runs on the agents' own computer, and anything consequential waits for a one-tap approval.

Remember

Agents read the knowledge base first and write back what they learned.

See it all

Every run shows what it cost, and every agent action lands in the audit trail.

Also compare
Before you decide

We publish what isn't ready.

Every one of our 86 features carries a maturity level: 53 stable, 31 preview, 2 experimental. No comparison table is worth much if the other column is aspirational, so ours isn't.

See what's stable

Ask in a channel. Get the work back.

5 safety gates. A person on every merge. Every team, not only engineering.

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