VirtusLab · AI Maturity
Select the current maturity level for each area. Hover over levels for details.
| Area | L1Ad-hoc | L2Guided | L3Systematic | L4Optimized | L5Autonomous |
|---|---|---|---|---|---|
| Development | |||||
Coding Agent Usage How your team uses AI coding assistants — from autocomplete to autonomous agent fleets. | |||||
Context Engineering What information agents receive about your codebase, architecture, and conventions. | |||||
Code Review & Quality How AI-generated code is reviewed, validated, and approved before merging. AI code has 1.7x more issues and 2.74x more security vulnerabilities — review is now critical infrastructure. | |||||
Testing Strategy How tests are written, maintained, and validated in an AI-assisted workflow. | |||||
| Delivery Management | |||||
CI/CD Pipeline Speed and reliability of your build-test-feedback loop for AI-generated code. | |||||
Merge & Deploy How PRs flow from creation to production — throughput, automation, and conflict handling. | |||||
Metrics What you measure to understand AI-assisted engineering productivity and quality. | |||||
Governance & Compliance Controls around AI-generated code — licensing, security scanning, and audit trails. | |||||
| Organization | |||||
AI Adoption Model How your organization rolls out AI tools — from individual experiments to org-wide strategy. | |||||
Knowledge Management How institutional knowledge is captured, shared, and made available to both humans and agents. | |||||
Team Structure & Roles How teams are organized and what roles exist to support AI-augmented engineering. | |||||
Tech Debt & Modernization How AI accelerates paying down tech debt and modernizing legacy systems. | |||||
| Infrastructure | |||||
Agent Runtime & Sandboxing Where and how AI agents execute code — isolation, security, and resource management. | |||||
MCP & Tool Integration How agents connect to external tools, APIs, and internal systems via MCP (now universal standard) and plugins. | |||||
Build System Build tooling optimized for agent-scale throughput — caching, incrementality, and speed. | |||||
Observability & Feedback Loop Monitoring agent behavior, costs, and outcomes to close the improvement loop. | |||||
0/16 areas completed