Jive
JiveIntegrated Claude Agent

Link your repository, pipe issues into tasks that run in configurable containers.

At worst, get most of the way there for a few bucks.
Best case? Just approve the pull request.

We sell Async AI, you buy time

Create a task with context from your issue tracker, review the AI's plan, and come back later to an improved product.

The AI handles the tedious middle work—research, implementation, testing—so humans can focus on architecture decisions and final review.

"Most tasks are production-ready. The rest need minor tweaks. Either way, we're not starting from scratch anymore."
- John Doe, CTO of Acme Inc.

Four steps from idea to real life

1
Link your repository
Connect Jive to your project repository in seconds. Your codebase context is automatically available to AI workers.
2
Create a task
Describe what needs to be built or fixed. Pull in details from GitHub/GitLab issues, or write requirements directly.
3
Approve the plan
Jive's AI generates an execution plan using your custom tools. Review the approach, adjust if needed, then let it run in the background.
4
Review and merge
Come back to completed work. Review the implementation, run your tests, and merge. Or request refinements—the AI iterates based on your feedback.

Plus, your entire team stays in sync

When you upload custom subagents and MCP server configurations to Jive, they're automatically distributed across your team. Everyone uses the same tools, the same versions, and the same best practices.

No more "works on my machine" for AI configurations.

Centralized library

Subagent configurations with full version control

Automatic sharing

MCP servers distributed across the team instantly

Team consistency

Everyone uses the same AI tools and approaches

Let humans do what they do best

Stop wasting time doing stuff AI should be doing. Jive plugs into your existing workflow, and can be unplugged just as easily if you change your mind.