
Software Development Redmond, Washington
The Microsoft community call recording titled "Power Apps YAML Snippets Tips and Tricks – Hard Coded Sample Data Creation" offers a focused demo on speeding up app development by making sample data portable. Presented by David Warner, the session walks viewers through concrete techniques for converting gallery data into ready‑to‑paste records. Consequently, watchers can reproduce UI scenarios without relying on external data sources during design and testing phases.
Furthermore, the video emphasizes practical code patterns rather than high‑level theory, so developers can adopt them immediately. For example, the demonstration highlights using JSON() with the IncludeBinaryData flag and string manipulation with Concat() to create snippet syntax. Therefore, the guidance aims to reduce friction when sharing or storing sample datasets across teams and environments.
First, Warner shows how to extract gallery records and convert them into hard‑coded sample records through formula-driven serialization. He uses JSON() to capture record contents and includes binary image data by toggling IncludeBinaryData, which embeds images as Base64 strings. As a result, apps no longer depend on the AppRes asset registry when using those sample images.
Next, the demo demonstrates how to generate pasteable record syntax using Concat() to assemble arrays and text fragments into valid Power Apps expressions. This step reduces manual editing and avoids common syntax errors when moving sample data between projects. Additionally, Warner shows how to prepare SVG assets and other inline resources so they remain portable without external file references.
Finally, the presenter highlights productivity helpers such as extracting only the top N records with FirstN and using the clipboard for quick copy and paste operations. These small steps make it faster to create representative sample sets while keeping file sizes reasonable. Moreover, the demo includes quick checks to validate that pasted data behaves as expected inside galleries and forms.
In practical terms, the process begins with selecting a gallery or table and serializing it into JSON, then wrapping that payload into a snippet that developers can insert into new apps. Warner recommends keeping snippets concise by limiting binary inclusions to small images or converting assets to compact Base64 representations. Therefore, teams can balance fidelity of the sample data with portability of the snippet.
Transitioning between environments is easier when snippets follow a predictable structure, so the demo encourages standard naming and formatting conventions. For collaboration, copying the generated snippet into a shared snippet gallery or a version control system helps maintain a single source of truth. Consequently, community members can reuse proven examples and reduce duplicated effort across projects.
Moreover, Warner suggests using SVGs where possible to keep visual assets lightweight and resolution independent. Since SVG markup is text‑based, it compresses well inside snippets and avoids bitmap bloat. Thus, teams can showcase polished UIs in prototypes without inflating app size or complicating distribution.
Despite its benefits, hard‑coding sample data introduces tradeoffs that teams must consider carefully. For one, embedding binary data increases snippet size, which can slow down copying and sharing operations and may exceed size limits in some tooling. Therefore, developers should weigh the value of embedded images against the performance hit they may impose.
Additionally, using hard‑coded samples can obscure real‑world data behaviors, so relying exclusively on static records may miss edge cases found in live connectors. Consequently, teams should combine portable snippets with periodic testing against actual data sources to validate performance and data integrity. This hybrid approach preserves the speed of prototyping while guarding against false assumptions.
Maintenance is another challenge: as data models evolve, snippets must be updated to stay relevant. While snippets simplify onboarding, outdated samples can create confusion or introduce subtle bugs. Therefore, embedding snippet review into regular development workflows or code reviews helps keep examples accurate and useful.
The session is part of the broader Microsoft 365 & Power Platform community calls and aims to equip community members with repeatable patterns. David Warner’s demo is especially valuable for makers who share examples across teams, because it shows how to reduce friction when moving sample data between projects. Moreover, by standardizing snippets, organizations can speed up design reviews and maintain consistency in demos.
For teams that want to adopt these practices, start by experimenting with small galleries and a few asset types, then document the snippet format so colleagues can replicate it easily. Community libraries and shared snippet galleries provide a foundation, and contributions from practitioners help improve patterns over time. Ultimately, balancing portability, app size, and fidelity will guide which approaches work best for each team.
 
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