JuhJuh vs GitHub Copilot
Beyond the pull request. GitHub Copilot drafts code and pull requests inside GitHub. JuhJuh takes the work from a request in a channel through review, CI and the deploy.
TL;DR
- Scope: Ticket to pull request to deploy, plus work that is not code
- Safety: 5 safety gates, and a person decides the merge
- Agents: Organization agents with memory, on triggers and schedules
- Knowledge: A knowledge base agents read first and write back to
How JuhJuh compares to GitHub Copilot.
| Dimension | JuhJuh | GitHub Copilot |
|---|---|---|
| Scope | Ticket to pull request to deploy, plus work that is not code | Code suggestions, chat, code review and a cloud agent that opens pull requests |
| Safety | 5 safety gates, and a person decides the merge | Developers review the pull request |
| Agents | Organization agents with memory, on triggers and schedules | Coding and review agents for GitHub repositories |
| Knowledge | A knowledge base agents read first and write back to | Repository context, custom instructions and memory per repository |
| Integrations | 200+ ready-made connections across 23 categories | GitHub and MCP, with the agent started from Slack, Teams, Jira or Linear |
| Cost | Every run priced to the token, per ticket and project | Per-seat plans, with AI credits for usage |
| Audit trail | Every action logged with who, what, when and the cost | GitHub's audit log |
| Deployments | One-step rollback and a vault per environment | GitHub Actions, set up separately |
| House style | Every run gets the brand voice and the design system | Custom instructions per repository |
Keep what works. Add agents that deliver.
Use Copilot for suggestions and drafts inside GitHub. Use JuhJuh when the change needs a ticket, a written standard, review by a second model, CI and a deploy you can roll back.
- 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.
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.
Ask in a channel. Get the work back.
5 safety gates. 200+ connections. A person on every merge.
