Oodles AI helps enterprises design, secure, and operationalize GitHub Copilot. We enable AI pair programming across IDEs while enforcing governance, security policies, and enterprise integrations required for large-scale adoption.
End-to-end GitHub Copilot enablement aligned with your engineering stack, SDLC workflows, and compliance requirements..
Context-aware Copilot code suggestions tuned to your repositories, languages, and engineering standards.
GitHub Enterprise controls including SSO/SAML, data residency, audit logs, and policy enforcement.
Copilot Chat commands, templates, and pull request helpers aligned with your SDLC and CI/CD pipelines.
Usage analytics, quality signals, and dashboards to measure Copilot impact across teams.
GitHub Copilot and Copilot Chat enablement in VS Code and JetBrains with policy-aware suggestions.
Ground Copilot on internal READMEs, APIs, style guides, and architectural documentation.
Generate unit tests, refactor legacy code, and enforce coding standards using Copilot Chat.
Framework, SDK, and cloud migrations accelerated with guided Copilot prompts and checklists.
Copilot Chat for runbooks, incident response, and code-level root cause analysis.
We connect Oodles AI integrates GitHub Copilot with your existing developer tooling and enterprise platforms.
A structured GitHub Copilot rollout followed by Oodles AI to balance developer velocity, security, and measurable outcomes.
1
Assessment & Policy Design: Define Copilot goals, usage policies, IP protection, and risk posture.
2
Environment Setup: Configure GitHub Enterprise, SSO/SAML, seat governance, and repository access.
3
Pilot & Enablement: Run Copilot pilots, developer training, and best-practice prompt guidance.
4
Integration & API Layer: Integrate Copilot with CI/CD, issue tracking, and monitoring systems.
5
Deployment, Monitoring & Iteration: Scale Copilot usage, track adoption metrics, and continuously refine policies.