Developer Tools · Azure AI Foundry
Custom GitHub Copilot extension and Teams bot trained on your internal codebase, architecture docs, runbooks, and API specs. Engineers get contextual answers grounded in your actual systems — not generic documentation.
How It Works
We index your repositories, architecture docs, runbooks, and API specifications into Azure AI Search — with Entra ID access control so engineers only see what they're authorised to access.
We build the custom GitHub Copilot extension or Teams bot using Semantic Kernel, with RAG retrieval over your indexed knowledge base and Azure OpenAI GPT-4o for generation.
The copilot is deployed as a GitHub Copilot extension in VS Code and a bot in Microsoft Teams — with analytics dashboards showing usage, top queries, and knowledge gaps.
Capabilities
Trained on your actual repositories, the copilot suggests completions that match your internal patterns, naming conventions, and architecture — not generic Stack Overflow answers.
Engineers ask questions about system design, data flows, and component interactions in plain English — and get grounded answers with citations to your actual architecture documents.
During incidents, the copilot surfaces relevant runbooks, past incident playbooks, and escalation paths instantly — reducing mean time to resolution.
Flags issues against your internal coding standards, security guidelines, and architectural patterns before code reaches human reviewers.
Automatically generates OpenAPI documentation from your internal API traffic and codebase — keeping developer docs current without manual effort.
Engineers query the copilot directly in Microsoft Teams — getting answers to technical questions without interrupting senior colleagues.
Built With