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AI Dev Gallery — Personal Fork (Proof of Concept)

TL;DR: This repository is not the official Microsoft project. It’s my personal fork used to showcase a new Evaluation tab concept I built as a proof-of-concept (POC).
If you’re looking for the real project, go here → microsoft/AI-Dev-Gallery.


Why this repo exists

I cloned the upstream repo and opened a couple of symbolic PRs in this fork to document and demonstrate the work I did (mostly front-end). Those PRs capture the design, UX, and implementation approach for an Evaluation experience inside AI Dev Gallery.

  • 🤖 Built with AI coding agents: I used Claude Code and GitHub Copilot to accelerate scaffolding, refactors, and test stubs during this POC.
  • 📦 This fork is for show & tell only (a POC / “vibe-coded” exploration).
  • 🧭 For source of truth, docs, issues, and downloads, use the official repo linked above.

What to look at (my work)

The two PRs below summarize the core of this POC and include descriptions/screenshots of the feature set.

  1. PR #5 – Evaluation Core Feature with Evaluation Wizard Dialog
    Link: #5
    Adds a complete Evaluation workflow and the new Evaluation tab foundation.
    • 6-step Evaluation Wizard (workflow → type → model → dataset → metrics → review)
    • Three evaluation modes: Test Model, Evaluate Responses, Import Results
    • Evaluation management views (card + list), search/filter, bulk selection, and status tracking
    • Local data persistence and sample data generation
    • Keyboard navigation & screen-reader support (accessibility improvements)

📸 Screenshots

Evaluation Home Eval Home Step 1 - Select Eval Type step1

Step 2 - Choose Workflow step 2

Step 3 - Configure Model with Image Description API Chosen step 3

Step 4 - Dataset Input step 4

Step 5 - Evaluation Criteria step 5

Step 6 - Evaluation Confirmation step 6

  1. PR #6 – Evaluation Insights, Analytics, and Comparison Features
    Link: #6
    Builds on the core to add analytics and comparison.
    • Insights view with score distributions and criteria breakdowns
    • Compare up to 4 evaluations side-by-side
    • Basic statistics (mean/median/std dev), trends, and item-level analysis
    • Export evaluation results (JSON/CSV)
    • Continued focus on performance and accessibility

📸 Screenshots

Evaluation Insights Eval Insights

Printable Report Printable Report

Compare Evaluations Compare Evals

Tip: In each PR, click the “Files changed” tab to review the implementation details.


Not the official project

  • ⚠️ This fork isn’t maintained as a product. Please don’t open issues here for upstream bugs.
  • 👉 Use microsoft/AI-Dev-Gallery for releases, docs, and contributions.

Credit

  • Upstream project: Microsoft — AI Dev Gallery
  • AI coding agents used in this POC: Claude Code and GitHub Copilot
  • My contributions in this fork are for demonstration purposes only and do not imply Microsoft endorsement.

Optional: local build instructions

If you want to build this fork locally, follow the official instructions from the upstream repo. The authoritative README and setup steps live there.


Contact

If you have questions about this POC or want to discuss the Evaluation feature, feel free to reach out via GitHub.

About

POC: Evaluation tab for AI Dev Gallery (Claude Code + GitHub Copilot). Website:

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