AI Software Factory for Claude Code
Clear your backlog while you sleep. Manage your agent tasks via an easy to use kanban board, and not some geeky terminal.
Engineering Teams Are the New Bottleneck
You've seen what AI coding tools can do. But single-agent limitations keep catching up with you:
- •One task at a time, everything queues behind each other
- •Context-switching kills momentum and productivity
- •Your backlog grows faster than your team can ship
- •Hiring takes months; demand doesn't wait
- •Delivery timelines depend on team availability, not business needs
What if you could run multiple agents in parallel, across projects, across priorities, without the team constraints?
xSquad: Parallel Agent Execution at Scale
xSquad deploys multiple Claude Code agents working in parallel on your projects. One agent building features while another writes tests, fully coordinated, fully parallel. Human senior developers provide oversight and quality assurance.
Parallel Agent Execution
Run multiple Claude Code agents simultaneously across different projects or tasks. One agent writing tests while another builds components, fully parallel, fully productive.
Parallel agents, human review
Multiple agents open pull requests in parallel. A human reviews them before anything merges.
Senior Developer Backing
Every line of AI-generated code is reviewed by developers with 10+ years of experience. Production-ready quality with AI velocity.
Fullstack Excellence
TypeScript, React, Next.js, Node, modern stacks, clean architecture, scalable solutions. Every agent follows your team's conventions.
Your Team, Amplified
Stop waiting on backlogs. Your squad executes while you focus on strategy. AI handles implementation, you maintain direction.
No More Team Constraints
Need to ship faster? Scale your agent count. Finishing a project? Scale down. You're no longer constrained by hiring, onboarding, or availability.
You're No Longer Constrained by Your Team
With xSquad, your delivery capacity isn't limited by headcount, hiring pipelines, or team availability.
Traditional Constraints
- ✗Engineering team capacity limits delivery
- ✗Hiring takes 2-4 months for qualified engineers
- ✗Onboarding new developers slows momentum
- ✗Context-switching between priorities is slow
- ✗Fixed headcount doesn't match variable demand
The xSquad Advantage
- ✓Add or remove agents as the workload changes
- ✓Agents open pull requests you review
- ✓No onboarding, agents work from day one
- ✓Parallel execution across all priorities
- ✓Elastic capacity, scale up or down anytime
What Your Agent Squad Builds
Product & Planning
- ✓Requirements analysis and breakdown
- ✓User story creation and refinement
- ✓Backlog prioritization and grooming
- ✓Acceptance criteria definition
- ✓Sprint planning support
Development
- ✓Fullstack feature implementation
- ✓API design and documentation
- ✓Component architecture and patterns
- ✓Database schema and migrations
- ✓Third-party integrations
Quality & Review
- ✓Comprehensive test writing (unit, integration, E2E)
- ✓Code review and optimization
- ✓Edge case identification
- ✓Performance validation
- ✓Security scanning
Design & UI
- ✓Component implementation from specs
- ✓Responsive layout development
- ✓Design system adherence
- ✓Accessibility compliance
- ✓Visual consistency assurance
Single Agent vs. Parallel Agent Execution
| Single Agent | xSquad Parallel Execution |
|---|---|
| One developer, one task at a time | Multiple agents working in parallel |
| Sprint velocity limited by team size | Scale agent count based on demand |
| Weeks to hire and onboard engineers | Agents open pull requests you review |
| Engineering team becomes the bottleneck | No more team constraints on delivery |
| You manage context across tools and people | AI handles coordination while you focus on outcomes |
| Fixed headcount regardless of workload | Add or remove agents as the workload changes |
The Economics of Parallel Agent Execution
See what's possible when AI agents work in parallel for you.
Agents open pull requests you can read
Nothing merges without your approval
A person reviews before code is merged
Add or remove agents as the workload changes
You review every pull request. Nothing merges without approval.
Common Questions About xSquad
How is xSquad different from using Claude Code directly?
A single Claude Code instance works on one task at a time. xSquad orchestrates multiple Claude Code agents working in parallel across your projects, with human oversight for quality and accountability.
Do I need to provide my own Claude Code subscription?
Yes, you bring your own Anthropic subscription. xSquad handles the orchestration, parallel execution, and human oversight layer on top.
How quickly can I deploy parallel agents?
There is no hiring or onboarding cycle to wait on. Once your repo is connected, agents open pull requests as reviewable diffs, and a human reviews each one before it merges. How long setup takes depends on the repo.
What if an AI agent makes a mistake?
Every PR from your agent squad is reviewed by senior human developers before merging. You get AI speed with human accountability.
Can I scale agents up and down?
Absolutely. Need more capacity for a launch? Add agents. Project wrapping up? Scale back. You control the agent count based on your needs.
How does this help with delivery constraints?
Your delivery timeline is no longer limited by team headcount. Run multiple agents in parallel, tackle more work simultaneously, and break free from engineering team bottlenecks.
Ready to Break Free from Team Constraints?
Request Early access for parallel AI agent execution. Ship insanely fast without being constrained by engineering team availability.
Want to run Claude Code on open-source models instead? Zap runs Claude Code on GLM 5.2, Kimi K2, and Qwen, billed by time and compute rather than tokens.