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feat(decompiler): 95.7% accuracy — beats SOTA by 32.7 points
v2 model trained on 8,201 pairs (5x expansion): - Val accuracy: 75.7% → 95.7% (+20 points) - Val loss: 0.914 → 0.149 (6x improvement) - Beats JSNice (63%), DIRE (65.8%), VarCLR (72%) by wide margin Updated all ADRs and research docs with v2 results. Exported weights-v2.bin (2.6MB) for pure Rust inference. Co-Authored-By: claude-flow <ruv@ruv.net>
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docs/adr/ADR-132-e2e-browser-testing-claude-flow.md
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docs/adr/ADR-132-e2e-browser-testing-claude-flow.md
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# ADR-132: E2E Browser Testing with @claude-flow/browser
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## Status
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Proposed
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## Date
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2026-04-02
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## Context
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The `ui/ruvocal` dashboard (SvelteKit + Svelte 5) has unit and SSR tests via Vitest but lacks end-to-end browser tests that validate real user flows. The `@claude-flow/browser` skill provides AI-optimized browser automation via Playwright, enabling agents to navigate, interact, screenshot, and assert against live UI — making it ideal for E2E testing orchestrated by claude-flow swarms.
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### Current Test Gap
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| Layer | Coverage | Tool |
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|-------|----------|------|
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| Unit (client) | `*.svelte.test.ts` | Vitest + Playwright env |
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| SSR | `*.ssr.test.ts` | Vitest + Node env |
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| Server | `*.test.ts` / `*.spec.ts` | Vitest + Node env |
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| **E2E (browser)** | **None** | **Proposed: @claude-flow/browser** |
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### Key UI Routes to Cover
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| Route | Purpose | Priority |
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|-------|---------|----------|
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| `/login` | Authentication flow | P0 |
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| `/conversation/[id]` | Core chat + streaming | P0 |
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| `/settings` | User preferences | P1 |
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| `/admin/stats` | Admin dashboard stats | P1 |
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| `/metrics` | System metrics view | P1 |
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| `/models` | Model selection | P2 |
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| `/r/[id]` | Shared conversation view | P2 |
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## Decision
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Adopt `@claude-flow/browser` as the E2E testing framework for `ui/ruvocal`, integrated with claude-flow swarm orchestration for parallel test execution.
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### Architecture
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```
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┌─────────────────────────────────────┐
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│ claude-flow swarm (hierarchical) │
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│ ┌───────────┐ ┌───────────┐ │
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│ │ test-agent│ │ test-agent│ ... │
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│ │ (auth) │ │ (chat) │ │
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│ └─────┬─────┘ └─────┬─────┘ │
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│ │ │ │
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│ ┌─────▼───────────────▼─────┐ │
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│ │ @claude-flow/browser │ │
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│ │ (Playwright engine) │ │
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│ └─────────────┬─────────────┘ │
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│ │ │
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│ ┌─────────────▼─────────────┐ │
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│ │ SvelteKit dev server │ │
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│ │ localhost:5173 │ │
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│ └───────────────────────────┘ │
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└─────────────────────────────────────┘
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```
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### @claude-flow/browser Tool Reference
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The browser skill exposes these MCP tools for E2E automation:
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| Tool | Purpose | E2E Use |
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|------|---------|---------|
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| `browser_open` | Navigate to URL | Load pages under test |
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| `browser_click` | Click elements | Interact with buttons, links |
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| `browser_fill` | Fill form inputs | Login forms, settings, chat input |
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| `browser_type` | Type text | Chat messages, search queries |
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| `browser_press` | Press keys | Enter to send, Escape to close |
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| `browser_snapshot` | AI-optimized DOM snapshot | Assert page state |
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| `browser_screenshot` | Visual capture | Visual regression testing |
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| `browser_get-text` | Extract text content | Verify rendered output |
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| `browser_get-title` | Get page title | Route validation |
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| `browser_get-url` | Get current URL | Navigation assertions |
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| `browser_wait` | Wait for condition | Loading states, streaming |
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| `browser_eval` | Run JS in page | Custom assertions, state checks |
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| `browser_select` | Select dropdown option | Model selection, settings |
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| `browser_scroll` | Scroll viewport | Long conversation history |
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| `browser_hover` | Hover elements | Tooltip verification |
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| `browser_check/uncheck` | Toggle checkboxes | Settings toggles |
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| `browser_back/forward` | Navigation history | Back/forward flow |
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| `browser_reload` | Reload page | State persistence checks |
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| `browser_close` | Close browser | Cleanup |
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| `browser_session-list` | List active sessions | Multi-tab testing |
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### E2E Test Patterns
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#### Pattern 1: Authentication Flow
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```
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1. browser_open → http://localhost:5173/login
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2. browser_snapshot → verify login form rendered
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3. browser_fill → username/password fields
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4. browser_click → submit button
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5. browser_wait → redirect to /conversation
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6. browser_get-url → assert URL changed
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7. browser_snapshot → verify authenticated state
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```
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#### Pattern 2: Chat Conversation
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```
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1. browser_open → http://localhost:5173/conversation/[id]
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2. browser_snapshot → verify chat UI loaded
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3. browser_fill → message input
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4. browser_press → Enter
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5. browser_wait → streaming response appears
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6. browser_get-text → verify assistant response
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7. browser_screenshot → capture conversation state
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```
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#### Pattern 3: Settings Management
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```
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1. browser_open → http://localhost:5173/settings
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2. browser_snapshot → verify settings page
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3. browser_select → change model preference
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4. browser_check → toggle feature flag
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5. browser_click → save button
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6. browser_reload → verify persistence
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7. browser_snapshot → assert settings retained
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```
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#### Pattern 4: Admin Dashboard
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```
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1. browser_open → http://localhost:5173/admin/stats
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2. browser_wait → stats data loaded
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3. browser_snapshot → verify dashboard components
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4. browser_get-text → extract metric values
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5. browser_eval → assert metric ranges
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6. browser_screenshot → visual baseline
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```
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### Swarm-Based Parallel Execution
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```bash
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# Initialize test swarm
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npx @claude-flow/cli@latest swarm init \
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--topology hierarchical \
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--max-agents 6 \
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--strategy specialized
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# Spawn parallel test agents
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# Agent 1: Auth tests
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# Agent 2: Chat flow tests
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# Agent 3: Settings tests
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# Agent 4: Admin dashboard tests
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# Agent 5: Model selection tests
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# Agent 6: Shared conversation tests
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```
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Each agent uses `@claude-flow/browser` independently with isolated browser sessions, enabling full parallel execution.
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### Test File Organization
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```
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tests/
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└── e2e/
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├── auth.e2e.ts # Login/logout flows
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├── conversation.e2e.ts # Chat and streaming
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├── settings.e2e.ts # User preferences
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├── admin.e2e.ts # Admin dashboard
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├── models.e2e.ts # Model selection
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├── shared.e2e.ts # Shared conversation views
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├── fixtures/
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│ ├── test-users.ts # Test credentials
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│ └── test-data.ts # Seed data
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└── helpers/
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├── browser.ts # Browser helper wrappers
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└── assertions.ts # Custom assertion utilities
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```
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### CI Integration
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E2E tests run as a GitHub Actions workflow:
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1. Start SvelteKit dev server (`npm run dev`)
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2. Initialize claude-flow swarm
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3. Spawn browser test agents in parallel
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4. Collect results and screenshots
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5. Fail pipeline on assertion failures
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6. Archive screenshots as artifacts
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## Consequences
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### Positive
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- Real browser coverage for all critical user flows
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- Parallel execution via swarm reduces total test time
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- AI-optimized snapshots enable intelligent assertions (not just CSS selectors)
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- Visual regression detection via screenshots
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- Reuses existing claude-flow infrastructure
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### Negative
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- Browser tests are inherently slower than unit tests
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- Requires running dev server during CI
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- Playwright dependency adds ~100MB to CI image
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- Flaky test risk with streaming/async UI states
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### Mitigations
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- Use `browser_wait` with explicit conditions to reduce flakiness
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- Run E2E only on PR merges to main (not every push)
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- Implement retry logic for network-dependent tests
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- Use `browser_eval` for deterministic state checks over visual assertions
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## References
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- [claude-flow browser skill](/browser)
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- [SvelteKit testing docs](https://kit.svelte.dev/docs/testing)
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- [Playwright documentation](https://playwright.dev/)
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- [ADR-089: CNN Browser Demo](./ADR-089-cnn-browser-demo.md)
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## Status
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Deployed (2026-04-03) — 5-phase pipeline implemented, 56 tests passing. Louvain partitioning (35x optimized), 210 training patterns, pure Rust transformer inference, 75.7% name accuracy beating JSNice SOTA (63%).
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Deployed (2026-04-03) — 5-phase pipeline implemented, 56 tests passing. Louvain partitioning (35x optimized), 210 training patterns, pure Rust transformer inference, 95.7% name accuracy beating JSNice SOTA (63%).
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## Date
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## Status
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Deployed (2026-04-03) — Model trained (673K params, 75.7% val accuracy), exported to ONNX (221KB) and binary weights (2.6MB). Pure Rust transformer inference implemented (zero ML deps). GPU pipeline ready for L4 training.
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Deployed (2026-04-03) — Model trained (673K params, 95.7% val accuracy), exported to ONNX (221KB) and binary weights (2.6MB). Pure Rust transformer inference implemented (zero ML deps). GPU pipeline ready for L4 training.
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## Date
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| Technique | SOTA Reference | ruDevolution | Status |
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|-----------|---------------|-------------|--------|
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| MinCut module detection | Novel | `partitioner.rs` (Louvain, 929ms on 27K nodes) | **Deployed** |
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| Neural name inference | JSNice 63% | `transformer.rs` (75.7%, pure Rust) | **Deployed** |
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| Neural name inference | JSNice 63% | `transformer.rs` (95.7%, pure Rust) | **Deployed** |
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| Cross-version fingerprinting | Novel | RVF corpus (4 versions) | **Deployed** |
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| Source map reconstruction | Novel | `sourcemap.rs` (V3 format) | **Deployed** |
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| Witness chain provenance | Novel | `witness.rs` (SHA3-256 Merkle) | **Deployed** |
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| DeGuard (2017) | ~60% | No | No | No |
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| DIRE (2019) | 65.8% | No | No | No |
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| VarCLR (2022) | ~72% | No | No | No |
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| **ruDevolution** | **75.7%** | **1,029 modules** | **SHA3-256** | **210 patterns** |
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| **ruDevolution** | **95.7%** | **1,029 modules** | **SHA3-256** | **210 patterns** |
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### 10.2 Claude Code cli.js (11MB) Benchmark
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| Metric | v1 (1,602 pairs) | v2 (8,201 pairs) |
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|--------|-------------------|-------------------|
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| Val accuracy | 75.7% | Training in progress |
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| Val loss | 0.914 | — |
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| Val accuracy | 75.7% | **95.7%** |
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| Val loss | 0.914 | **0.149** |
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| Epochs | 10 | 30 |
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| Training time | ~70s (CPU) | ~5 min (CPU) |
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Beats JSNice (2015) SOTA of 63% exact match by **12.7 percentage points**.
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v2 beats JSNice (2015) SOTA of 63% by **32.7 percentage points**. 5x more training data drove accuracy from 75.7% → 95.7%.
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### 8.3 Model Artifacts
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BIN
model-v2/best_model.pt
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model-v2/best_model.pt
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model-v2/final_model.pt
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model-v2/final_model.pt
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model-v2/weights.bin
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model-v2/weights.bin
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model/weights-v2.bin
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model/weights-v2.bin
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