Code Development With AI: Where Do I Start?
Briefly

Code Development With AI: Where Do I Start?
"Developing eLearning using some of the well-known industry authoring tools, and you want to take advantage of JavaScript code snippets, CSS hacks, or HTML modifications? Integrating code with libraries used in the current eLearning authoring tools? Building custom learning interactions with more actionable data than the default score, completion, and time spent based on industry standards such as SCORM or xAPI?"
"Creating utility tools for your team to run internally within your organization's firewall? For example, I built a "Unified Survey Explorer" tool that includes all approved questions learning designers can use for more actionable "Level 1" surveys. Not only does the tool allow them to select the questions, but they can also preview them, and they can create their pre-prod version to test data collection. All built with AI."
Learning professionals who develop code can leverage AI-assisted tools to add JavaScript, CSS, and HTML customizations within industry eLearning authoring tools. Code integration with common libraries enables creation of custom interactions and capture of more actionable data beyond default SCORM or xAPI metrics. Internal utility tools can be built to run behind organizational firewalls to allow selection, preview, and pre-production testing of survey and data-collection workflows. Rapid prototyping reduces development timelines from months to hours. UX/UI designs can be imported from Figma into tools like Windsurf via a Model Context Protocol server to produce interactive prototypes quickly. Multiple AI-supported development tools were evaluated for these purposes.
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