One platform. Framed for your role.
The same supervised runtime, reframed for the seat you sit in. Pick your role and see how JuhJuh works for you.
Ship more with the team you have.
JuhJuh connects ticket creation to pull request in one 7-stage pipeline. Your team stops context-switching between tools and starts shipping features.
Idea-to-PR Pipeline
Ticket syncs from Jira or Linear. AI analyzes complexity and affected files. Prompts generate automatically. Code executes in isolated branches. Diffs go through human review. PRs land with structured descriptions. One pipeline, seven stages, zero manual handoffs.
7 pipeline stages, zero context-switchingAuto-Play Execution
Queue an Epic's child tickets for sequential execution. Each ticket inherits the full context of completed siblings. The tenth ticket knows what the first nine shipped. Wake up to a board full of PRs ready for review.
Sequential execution with shared sibling contextMulti-Repo Orchestration
Connect multiple repositories to a single project. Service dependency mapping shows which repos a change affects. Branch isolation means parallel execution across repos without branch conflicts. One feature, three repos, one coordinated workflow.
7 service dependency types trackedVelocity Analytics
Cycle time from ticket creation to merged PR, broken down by stage. Execution success rates per project and per team. You see where the pipeline stalls and fix the bottleneck, not the symptom.
Cycle time, success rate, and throughput per teamShared Prompt Templates
Versioned prompt templates with placeholder substitution and include directives. One engineer writes a good API endpoint template. Every subsequent API ticket uses it. Senior knowledge scales to the whole team without meetings.
75 prompt templates with version control200+ Integrations
Jira, Linear, GitHub, GitLab, Bitbucket, Slack, Salesforce, Shopify, Stripe, and 190 more across 23 categories. Two-way sync keeps your existing tools. JuhJuh orchestrates the workflow between them.
200+ integrations across 23 categoriesAutonomous AI Agents
11 specialist agents handle research, code analysis, security audits, and performance monitoring. Trigger rules fire on schedule or on ticket events. Skill tracking improves agent performance over time.
11 specialist agents with trigger rules and skill trackingOne-Click Deployments
Auto-generated deployment configuration from project settings. Semantic versioning, real-time log viewer, service controls, auto-firewall, and encrypted vault with secrets management. Ship from dashboard to production.
Config-driven deploys with semantic versioningYou assign three developers. They coordinate through Slack threads over two days. The frontend developer waits for the API contract. The types package update gets forgotten until CI fails. Three PRs merge in the wrong order. Hotfix by Thursday.
You create an Epic with three child tickets ordered by dependency. Auto-Play executes them sequentially. The frontend ticket receives the actual API schema from the backend execution. Three PRs, correct order, reviewed by lunch.
You compare story points before and after Copilot rollout. The numbers are noisy. Team composition changed. Ticket complexity varies. You present a chart that proves nothing and satisfies no one.
JuhJuh shows cycle time per ticket type, execution success rates by team, and cost per merged PR. You show that API tickets complete faster through the pipeline. You have data, not anecdotes.
From ticket to pull request. One pipeline.
7 stages. 200+ integrations. Measurable velocity.
Go deeper into the platform.
From ticket to pull request. One pipeline.
7 stages. 200+ integrations. Measurable velocity.
