# Driver

## About

Stop losing context in complex codebases. Driver creates structured, AI-ready documentation and delivers it through MCP to Cursor, Claude Code, Copilot, and more.

- Verified: Yes

## Services

### Codebase Management & Automation
- [DevOps & Source Code Integration](https://bilarna.com/ai/codebase-management-and-automation/source-code-and-devops-integration)

### Technical Documentation Services
- [Software Documentation Solutions](https://bilarna.com/services/technical-documentation-services/software-documentation-solutions)

## Trust & Credentials

### Certifications
- SOC 2 (SOC2)
### Compliance
- SOC2
### Data Security
- SOC 2

## Frequently Asked Questions

**Q: How does automated documentation improve codebase management?**
A: Automated documentation enhances codebase management by continuously analyzing code changes and updating documentation accordingly. This process ensures that documentation remains accurate and aligned with the current state of the codebase, reducing manual maintenance efforts and preventing documentation drift. By integrating directly with source code management systems, automated documentation tools can monitor commits and refresh related documents in real time. This leads to improved developer productivity, better onboarding experiences, and more reliable technical content that supports efficient collaboration across teams.

**Q: What deployment options are available for secure and scalable code documentation?**
A: Secure and scalable code documentation solutions typically offer multiple deployment options to meet diverse organizational needs. Common options include multi-tenant SaaS, which provides cost-effective onboarding with strict data separation between organizations, ideal for teams prioritizing speed and simplicity. Single-tenant SaaS offers a dedicated environment hosted in a private virtual private cloud (VPC) with isolated infrastructure and optional network controls, catering to organizations requiring enhanced security and control. Custom deployments are tailored for large enterprises with advanced requirements, supporting private AI APIs, VPC peering, and compatibility with major cloud providers. All deployment types generally include enterprise-grade security features such as SOC 2 Type II compliance, encryption in transit and at rest, and integration with identity management systems for access control.

**Q: How does breaking down codebases into smaller units enhance documentation accuracy?**
A: Breaking down codebases into smaller units, such as files, syntax trees, and symbol tables, improves documentation accuracy by simplifying the analysis and description of each component. This granular approach allows documentation tools to focus on well-defined, constrained tasks for each unit, reducing complexity and minimizing errors. Subsequent passes aggregate these detailed descriptions into higher-level abstractions, ensuring comprehensive coverage. By structuring the documentation process in both spatial (granular units) and temporal (multiple passes) dimensions, the approach shifts much of the correctness and exhaustiveness burden from inference models to the underlying compiler architecture. This method results in content that is accurate by construction and consistent across large and complex codebases.

## Links

- Profile: https://bilarna.com/provider/driver
- Structured data: https://bilarna.com/provider/driver/agent.json
- API schema: https://bilarna.com/provider/driver/openapi.yaml