pcf-controls

Build and deploy PCF controls by scaffolding with pac pcf init, configuring the manifest, testing, packaging the solution, and exporting for production. This approach covers the full lifecycle for reliable, scalable controls.

Scaffold a new PCF control using pac pcf init, install dependencies, build the project, and run the test harness. This structured guidance ensures correct initialization and prevents misconfigurations during setup.

Yes, it supports both standard and React virtual controls across field and dataset scenarios. It provides lifecycle guidance and manifest best practices for developing these controls within the Dataverse environment.

PCF development often involves fragmented steps from scaffolding to deployment, leading to misconfigurations and slower delivery. End-to-end patterns and operational guidance for packaging and debugging resolve these issues.

Package a PCF control for production export by following structured solution packaging workflows. This ensures reliable deployment across environments by organizing resources and applying deployment best practices.

Yes, operational guidance includes debugging workflows and resource organization for reliable deployment across environments. This ensures scalable controls and prevents common deployment issues throughout the lifecycle.