Calculate Your Team's Velocity & Savings
See how much your organization could save in engineering payroll and cycle time by transitioning from traditional tickets to Claude-Native delivery.
Where Does the 25-Day Cycle Time Go?
Most delays in engineering aren't coding problems — they are communication, scoping, and review bottlenecks. Here is how Claude-Native workflows compress each phase.
1. Requirements & Scoping
Spec-driven synthesis transforms PRDs directly into technical architecture and acceptance criteria.
2. Architecture & Design Docs
Automated ADR generation and schema verification against existing codebase domain models.
3. Implementation & Coding
Parallel sub-agent execution with spec compliance checking in real-time.
4. Code Review & PR Iteration
Self-review passes and automated edge-case regression tests attached to each PR.
5. QA & Regression Discovery
Autonomous test generation and automated integration harness validation.
6. Deploy & Cutover
Standardized CI/CD pipelines with automated smoke test suites.
Frequently Asked Questions
How are the annual savings calculated?
Savings are based on the industry benchmark that an embedded Claude-Native squad operates at approximately 42% of the all-in cost of an equivalent onshore team in major North American tech hubs (salary, benefits, management overhead, and tooling), while delivering 6.5x faster feature cycle times.
How does Cloudbrics protect our IP and codebase security?
Our squads operate strictly inside your cloud perimeter or VPC. We enforce data isolation policies where no proprietary code or customer data is used for model training. Full audit logging tracks every prompt, tool call, and commit.
What tech stacks do your squads support?
Our Claude-Native methodology applies across modern enterprise stacks: TypeScript/Next.js/React, Python, Go, Java/Kotlin, Rust, PostgreSQL/distributed datastores, and cloud-native infrastructure (AWS, GCP, Azure, Kubernetes).
How quickly can a Claude-Native squad integrate into our workflow?
Squads are typically sourced, trained in our spec-driven delivery methodology, and embedded into your existing sprint rituals, Jira/Linear, and GitHub within 3 to 4 weeks.
Can this model be applied to our existing in-house engineers?
Yes. Through our Claude Code Transformation Training programme, we run hands-on workshops that train your current engineering organization to wield Claude Code for spec-driven development.
Ready to Validate These Numbers on Your Codebase?
Book a 30-minute discovery call. We'll prepare a custom velocity analysis tailored to your engineering team size, stack, and roadmap bottlenecks.