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.
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.
Subagent configurations with full version control
MCP servers distributed across the team instantly
Everyone uses the same AI tools and approaches