Implement Model Student app via red-green TDD#2
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Built the complete multi-page ML experimentation web app following the red-green TDD cycle specified in PLAN.md. Each module was implemented by first writing failing tests, then writing minimal code to pass them. - Shared libraries: model-loader (lazy-load + caching) and model-status (pure state machine) with 15 unit tests - Sentiment Analysis page: formatSentimentResult, isInputValid with 11 unit tests + 9 E2E tests - Image Classification page: formatClassificationResults, isValidImageFile with 16 unit tests + 7 E2E tests - Text Summarization page: computeSummaryStats, isTooShort, loadWithFallback with 14 unit tests + 8 E2E tests - Landing page with card grid linking to all experiments + 8 E2E tests - Full design system in app.css with dark mode, WCAG AA contrast compliance - Playwright E2E testing with pipeline mocking via globalThis injection - All 56 unit tests and 64 E2E tests (desktop + mobile) passing - Production build verified https://claude.ai/code/session_016SHnm5XvjjWkf4URWAEPe1
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Built the complete multi-page ML experimentation web app following the
red-green TDD cycle specified in PLAN.md. Each module was implemented by
first writing failing tests, then writing minimal code to pass them.
(pure state machine) with 15 unit tests
unit tests + 9 E2E tests
with 16 unit tests + 7 E2E tests
with 14 unit tests + 8 E2E tests
https://claude.ai/code/session_016SHnm5XvjjWkf4URWAEPe1