AI Coding Platforms
Enterprise adoption for the AI coding platforms your teams already want to use
Dedicated enablement for GitHub Copilot, OpenAI Codex, Claude Code, and Cursor — covering use cases, capabilities, security considerations, consulting packages, and training pathways.
All Platforms
Choose the platform page that matches your current adoption priority
GitHub Copilot
Adopt GitHub Copilot across engineering teams with enterprise controls — content exclusions, identity-aligned access, repository instructions, and adoption measurement that security and leadership can stand behind.
OpenAI Codex
Bring OpenAI Codex into enterprise engineering with clear repository context, secure automation boundaries, MCP controls, and team workflows that improve delivery without sacrificing auditability.
Claude Code
Operationalize Claude Code for enterprise engineering teams — repository instructions, MCP servers, permission models, and secure agentic workflows that fit existing DevSecOps practices.
Cursor
Roll out Cursor as an enterprise AI-native development environment — project rules, agent permissions, MCP controls, and measured adoption that fits security and platform standards.
How We Help
Platform pages connect to consulting, training, and assessment
Each platform page is part of the Agentic Software Engineering practice — not a standalone product pitch. Use them to evaluate fit, understand security considerations, and move into readiness assessment, secure pilots, or enablement.
Consult
Tool evaluation, secure pilots, rollout, MCP, and governance packages.
Train
Vendor-aligned and VNode instructor-led programs in the main catalog.
Assess
Readiness assessment to prioritize platforms and pilot scope.
Govern
Policy, repository tiers, and audit standards for durable adoption.
Next Step
Not sure which platform to prioritize?
Start with a readiness conversation or assessment — we'll help map tool fit, security constraints, and pilot scope to your engineering context.