IDP ships framework-aware AI context that works with GitHub Copilot, Claude, and other AI assistants. Without any extra setup, your AI assistant gains precise knowledge of IDP's architecture, extension points, and patterns — giving you accurate, IDP-specific answers right where you work instead of generic .NET suggestions.
Your AI assistant gets a detailed picture of each IDP framework project — its structure, boundaries, and safe extension points — so it never suggests patterns that don't fit IDP.
Focused skills cover every IDP workflow — validation rules, navigation wiring, Telerik grid customization, view-model behavior — loaded by your AI assistant on demand so answers stay precise and on-topic.
Project-aware agents route your question to the right skill automatically — ask anything about data, UI, grids, or infrastructure and get a concrete, framework-correct answer without leaving your editor.
“How do I add a validation rule that blocks deletion when related records exist?” — ask GitHub Copilot or Claude and get a step-by-step answer using the exact IDP base classes and extension points, not a generic .NET pattern.
Read the AI Enablement docsChoosing new tools for your organization can be a challenge, but the right tool can actually make you more agile. Here we present an example from a large Danish organization (which wished to remain anonymous) that needed new enterprise software. The organization has a large IT department that serves more than 15,000 end users.
Agile is often a buzzword we like to throw around. In reality, most companies are hampered by outdated legacy software, technical debt, and shadow IT, which make it difficult to respond to changes or implement new features. However, the right development tool can improve an organization's agility by allowing rapid changes and continuous user involvement.