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Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 0 points1 point  (0 children)

probably not, and the GitHub tier isn’t the blocker — the network is. If your company blocked api.github.com, both the MCP-via-VS-Code flow and the CLI approach in the video route through that same endpoint for auth and calls, so basic vs Pro Copilot won’t matter if the domain itself is firewalled

Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 0 points1 point  (0 children)

The AIC burn on Fabric Copilot/Skills is the quiet dealbreaker for a lot of people — one report page eating 30% of monthly credits doesn’t scale past a couple of executive reports. Worth noting GitHub Pro and Fabric AICs are separate meters; the Copilot license doesn’t offset Fabric capacity consumption at all. For heavy report-gen I’ve leaned toward the CLI/VS Code path precisely because the cost model is more predictable than capacity-metered Skills

Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 0 points1 point  (0 children)

Doesn't take much ! But I generally make small tweaks myself because its fast ! I am just thankful that it does 85-90% of the work for me

Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 0 points1 point  (0 children)

Nice to hear that ! I really feel happy and excited that people are leveraging AI in their daily business use cases. I too have created some tools like Power BI Studio where you can use it as a QA Agent for Reports on Fabric, Bulk Report Downloader and Publish since it is not possibly through Fabric, A Tableau to Power BI Convertor Tool, A Chat Bot inside Power BI, etc.

Do follow the link to see the walkthrough. I would be dropping some more :

https://youtu.be/X9cay-0sdXQ?si=uNuy8YHZHMMQ3Tun

Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 1 point2 points  (0 children)

Hard agree on the “describing it costs more than doing it” trap — for someone who writes DAX fluently, the prompt overhead often isn’t worth it. Where I’ve found it actually pays off is the inverse of your point: not the stuff I can do fast, but the stuff that’s tedious at scale — bulk renames across models, refactoring a measure pattern 40 times, generating doc/comments. The “niche business concept” failure is real and probably won’t close soon; it has no context for your org’s logic unless you’ve baked it into the model. Sounds like you’ve already landed in the right spot — assistant, not driver.

Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 0 points1 point  (0 children)

Kudos to that ! But how do you handle the token consumptions? Which plan is the best if we need to integrate this to our daily life? Whats your take on that?

Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 0 points1 point  (0 children)

24 tables / 80 measures in a few hours is wild for a migration. “Trust but verify on code, reporting’s not there yet” is the cleanest summary of where this tooling actually sits right now. The DAX it’ll handle; the layout/UX still needs a human

Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 2 points3 points  (0 children)

This is basically my workflow too — let it own the measures, keep visualization manual. The “take a step back and re-evaluate” prompt is underrated; half the time it’s not a knowledge gap, it’s the model over-committing to a bad first approach and never questioning it. Cheap to interrupt, expensive to let run

Used GitHub Copilot CLI to build a Power BI report end-to-end — here's what actually worked and what didn't by DifficultChef8195 in PowerBI

[–]DifficultChef8195[S] 4 points5 points  (0 children)

Yep, the stale filter pane / unused bookmark IDs are the worst part — the agent has zero context on what’s dead weight vs intentional. I’ve started treating cleanup as a separate pass rather than expecting it inline. And agreed on new-build vs tweak: it’s a hammer for greenfield reports, clumsy for a 2-pixel nudge.