Share Read-Only Sparks with Controlled Data Access
Allison details the new read-only sharing feature for Sparks on GitHub, offering developers greater data control and outlining related workflow improvements.
Share Read-Only Sparks with Controlled Data Access
GitHub now lets you share your Sparks as read-only, offering better control over how others interact with your GitHub apps. When sharing a Spark, you can now pick between:
- Write-access (users can edit Spark content)
- Read-access (users can only view your Spark)
How to Share a Read-Only Spark
- Publish your Spark on GitHub
- Set the visibility option to either Organization or All GitHub users
- In the expanded data access options, select Read access to restrict editing
This feature enables safe data sharing and collaboration—either within your organization or with the wider GitHub community—without risking unintended changes to your app’s data.
Try sharing a read-only Spark today
Workflow and Quality Improvements
Recent updates also include several bug fixes and quality enhancements:
- JSON Mode Fix: Corrected issues with JSON return format when calling
spark.llm
using JSON mode - Editor Sync: Improved synchronization in the Spark code editor to prevent lag or unsaved changes
- Loading State: Fixed issues causing Sparks to get stuck in “loading” states, resulting in smoother workbench logic
These changes make building and managing apps with GitHub Spark more reliable and efficient.
Learn more or get started by visiting github.com/spark.
This post appeared first on “The GitHub Blog”. Read the entire article here