AI-Powered Development Teams at Scale
Code Velocity
Agentic multi-agent workflows that automate coding, testing, and reviews—turning 5 developers into the output of 50.
Trusted by engineering teams at
Without Code Velocity
- Developers write boilerplate manually
- Manual code reviews block progress
- Tests written after code (if at all)
- 5 devs = 5 devs output
- Weeks to ship features
Average: 12 PRs/week
With Code Velocity
- AI agents handle routine coding
- Parallel reviews in minutes
- Tests generated with code
- 5 devs = 50 devs output
- Days to ship features
Average: 147 PRs/week
How Code Velocity Works
AI agents handle routine development tasks—so your team focuses on architecture and innovation.
Multi-Agent Orchestration
AI agents work in parallel—code generation, test creation, PR reviews, and refactoring—all coordinated through your DevOps context.
Automated Code Generation
From specs to implementation. AI agents handle routine coding tasks autonomously while maintaining your coding standards.
Runtime Traceability
Complete audit trails for every change. DORA-compliant with full evidence books for regulated environments.
10-100x Productivity
5-person teams deliver 50-person output. Pay only for what you use with HPC-grade parallel execution.
Measured Impact
Real results from Code Velocity customers
0hours
saved/mo/team
Average dev time saved per team
0
faster PR cycle
From open to merge
0
acceptance rate
AI-generated code kept in final
0
lead time
Commit to production (DORA)
Why Code Velocity?
More than just AI code completion
| Capability | GitHub Copilot | Cursor | Code Velocity |
|---|---|---|---|
| Code suggestions | |||
| Multi-file editing | |||
| Autonomous agents | limited | Full orchestration | |
| Parallel execution | HPC-grade | ||
| DevOps integration | Native | ||
| Audit trails | DORA-compliant | ||
| Self-hosted option | Full sovereignty | ||
| Test generation | basic | basic | Comprehensive |
| PR automation | End-to-end |
"Code Velocity isn't a replacement for Copilot or Cursor—it's the orchestration layer that makes them 10x more powerful."
Works with your entire stack
Source Control
AI Models
CI/CD
IDE
Velocity Tiers
Start fast. Scale infinitely.
Custom enterprise pricing available
Volume discounts available for 25+ developers
View full pricing details"Code Velocity transformed our development process. We went from shipping 2 features per sprint to 8—without adding headcount. The audit trails alone saved us 3 weeks of compliance work."
— VP of Engineering, Fortune 500 Financial Services Company
4x
feature velocity
89%
faster releases
$2.1M
annual savings
Frequently Asked Questions
GitHub Copilot provides inline code suggestions. Code Velocity orchestrates multiple AI agents that work in parallel across your entire development workflow—code generation, testing, reviews, and deployment. Think of Copilot as your co-pilot; Code Velocity is your entire AI development team.
Yes! Code Velocity integrates with GitHub, GitLab, Bitbucket, and Azure DevOps for source control. It works alongside Cursor, VS Code, and JetBrains IDEs. You can use OpenAI, Anthropic, Google models, or your own local/custom models.
All generated code follows your existing coding standards and passes through your normal review process. Code Velocity provides complete audit trails for every change, meeting DORA compliance requirements. Enterprise customers can use self-hosted models for complete data sovereignty.
Code Velocity is priced per developer per month. You pay for the tier that matches your team's needs, plus any compute usage for parallel builds. Volume discounts are available for teams of 25+ developers.
Yes, Enterprise customers can deploy Code Velocity on their own infrastructure or in their private cloud. This is particularly important for regulated industries with data sovereignty requirements.
Most teams are productive within a day. Code Velocity integrates into your existing workflow—you don't need to change how you work. Agents operate in the background, and you review their output through your normal PR process.
