use wasm_bindgen::prelude::*;

#[wasm_bindgen]
pub struct DataProcessor {
    buffer: Vec<u8>,
}

#[wasm_bindgen]
impl DataProcessor {
    #[wasm_bindgen(constructor)]
    pub fn new() -> DataProcessor {
        DataProcessor { buffer: Vec::new() }
    }

    pub fn ingest(&mut self, raw: &[u8]) {
        self.buffer.extend_from_slice(raw);
    }

    pub fn transform(&mut self) -> Vec<u8> {
        // Simulate heavy transformation (e.g., compression, encryption, or format conversion)
        self.buffer.iter().map(|b| b.rotate_left(3)).collect()
    }

    pub fn clear(&mut self) {
        self.buffer.clear();
    }
}

import init, { DataProcessor } from './pkg/compute_engine.js';

let processor: DataProcessor | null = null;

export async function initializeComputeEngine(): Promise<void> {
  await init();
  processor = new DataProcessor();
}

export async function processPayload(rawData: Uint8Array): Promise<Uint8Array> {
  if (!processor) throw new Error('Engine not initialized');
  processor.ingest(rawData);
  const result = processor.transform();
  processor.clear();
  return result;
}

const DB_NAME = 'app_runtime_v1';
const STORE_NAME = 'workflows';
const DB_VERSION = 1;

export function openDatabase(): Promise<IDBDatabase> {
  return new Promise((resolve, reject) => {
    const request = indexedDB.open(DB_NAME, DB_VERSION);
    request.onupgradeneeded = (event) => {
      const db = (event.target as IDBOpenDBRequest).result;
      if (!db.objectStoreNames.contains(STORE_NAME)) {
        const store = db.createObjectStore(STORE_NAME, { keyPath: 'id' });
        store.createIndex('status', 'status', { unique: false });
      }
    };
    request.onsuccess = () => resolve(request.result);
    request.onerror = () => reject(request.error);
  });
}

export async function persistWorkflow(workflow: { id: string; status: string; payload: any }): Promise<void> {
  const db = await openDatabase();
  const tx = db.transaction(STORE_NAME, 'readwrite');
  tx.objectStore(STORE_NAME).put(workflow);
  return new Promise((resolve, reject) => {
    tx.oncomplete = () => resolve();
    tx.onerror = () =

reject(tx.error); }); }

**Why this works:** IndexedDB operates asynchronously and does not block the main thread. By wrapping it in promises and using structured indexes, you enable fast local queries without network dependency. The database becomes the single source of truth for active sessions.

### Step 3: Design Conflict-Aware Synchronization

Local-first architectures inevitably encounter state divergence when multiple clients modify data offline. Synchronization strategies must assume conflicts will occur. CRDTs (Conflict-free Replicated Data Types) or operational transforms provide deterministic merge behavior without centralized locking.

**TypeScript Sync Orchestrator**
```typescript
interface SyncPayload {
  id: string;
  version: number;
  data: any;
  timestamp: number;
}

export async function syncWithServer(localStore: SyncPayload[]): Promise<void> {
  const response = await fetch('/api/sync', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify(localStore),
  });

  if (!response.ok) throw new Error('Sync failed');
  
  const serverState: SyncPayload[] = await response.json();
  
  // Merge strategy: last-write-wins with version tracking
  const merged = new Map<string, SyncPayload>();
  [...localStore, ...serverState].forEach(item => {
    const existing = merged.get(item.id);
    if (!existing || item.version > existing.version) {
      merged.set(item.id, item);
    }
  });

  // Persist merged state back to IndexedDB
  const db = await openDatabase();
  const tx = db.transaction(STORE_NAME, 'readwrite');
  merged.forEach(item => tx.objectStore(STORE_NAME).put(item));
  return new Promise((resolve, reject) => {
    tx.oncomplete = () => resolve();
    tx.onerror = () => reject(tx.error);
  });
}

Why this works: Version tracking combined with deterministic merge rules prevents data corruption. The sync layer runs in the background, queued by Service Workers when connectivity is restored. For complex collaborative editing, replace the merge logic with Yjs or Automerge CRDT libraries.

Step 4: Expose Structured Interfaces for AI Agents

AI browsers and agent frameworks parse markup and structured data to extract workflows. Semantic HTML, JSON-LD, and well-documented REST/GraphQL endpoints ensure your application remains functional even when the visual layer is bypassed.

TypeScript API Response Formatter

export function formatWorkflowForAgents(workflow: any) {
  return {
    '@context': 'https://schema.org',
    '@type': 'SoftwareApplication',
    name: workflow.title,
    description: workflow.description,
    operatingSystem: 'Web',
    applicationCategory: 'Productivity',
    featureList: workflow.steps.map((s: any) => s.action),
    url: `/workflows/${workflow.id}`,
    potentialAction: {
      '@type': 'ExecuteAction',
      target: `/api/workflows/${workflow.id}/execute`,
      description: 'Triggers workflow execution'
    }
  };
}

Why this works: Structured metadata enables machine parsers to understand intent, available actions, and data relationships without relying on CSS selectors or DOM traversal heuristics. This future-proofs your application against UI abstraction layers.

Pitfall Guide

1. Treating WebAssembly as a JavaScript Replacement

Explanation: Wasm is not a language; it's a compilation target. Attempting to rewrite entire UI frameworks in Rust or C++ ignores the browser's native event loop, DOM APIs, and accessibility tree. Fix: Use Wasm exclusively for compute-bound tasks. Keep UI rendering, event handling, and accessibility management in JavaScript/TypeScript.

2. Ignoring State Divergence in Local-First Apps

Explanation: Assuming offline changes will always merge cleanly leads to silent data loss. Network partitions, concurrent edits, and timestamp drift create unavoidable conflicts. Fix: Implement version vectors, CRDTs, or explicit conflict resolution UI. Never trust a single source of truth without merge guarantees.

3. Optimizing for Bundle Size Over Execution Time

Explanation: Traditional performance budgets prioritize kilobytes. A 2MB Wasm binary that executes in 40ms often outperforms a 150KB JavaScript bundle that triggers garbage collection pauses and main-thread blocking. Fix: Measure sustained frame rates, memory allocation patterns, and CPU utilization. Use Wasm for heavy loops, compression, or cryptographic operations regardless of initial download size.

4. Neglecting Structured Data for AI Agents

Explanation: Building exclusively around visual components leaves your application vulnerable to AI summarization or bypass. Agents cannot reliably infer business logic from CSS classes or dynamic routing. Fix: Expose workflows via REST/GraphQL, annotate pages with JSON-LD, and maintain semantic HTML hierarchies. Treat your API as a first-class product surface.

5. Misusing Service Workers for Critical Path Logic

Explanation: Service Workers run in a separate thread with strict lifecycle constraints. Attempting to perform synchronous DOM manipulation or long-running computations inside a worker causes silent failures or termination. Fix: Use Service Workers strictly for caching, background sync, push notifications, and request interception. Delegate heavy logic to Web Workers or Wasm modules instantiated in the main thread.

6. Overlooking Memory Boundaries in Wasm

Explanation: Wasm modules allocate linear memory that does not automatically shrink. Unbounded buffer growth leads to out-of-memory crashes, especially in long-running sessions. Fix: Explicitly manage memory lifecycles. Use clear() or drop() patterns, implement buffer pooling, and monitor memory usage via WebAssembly.Memory. Set hard limits for client-side allocations.

7. Treating APIs as Afterthoughts

Explanation: Building UI-first and exposing APIs as an afterthought results in inconsistent contracts, missing error codes, and poor rate limiting. AI agents and third-party integrations require stable, versioned interfaces. Fix: Design API contracts before UI components. Implement OpenAPI/Swagger specifications, enforce authentication, and version endpoints. Treat the API as the primary integration point.

Production Bundle

Action Checklist

• Audit compute-heavy features: Identify functions blocking the main thread and migrate them to Wasm or Web Workers.
• Implement local persistence: Replace ephemeral state with IndexedDB or SQLite-Wasm for session continuity.
• Design sync strategy: Choose CRDTs, operational transforms, or versioned last-write-wins based on collaboration requirements.
• Structure data for machine consumption: Add JSON-LD, semantic markup, and documented REST/GraphQL endpoints.
• Configure Service Workers: Set up caching strategies, background sync queues, and offline fallbacks.
• Establish memory limits: Profile Wasm allocations, implement buffer pooling, and add runtime safeguards.
• Version API contracts: Document endpoints, enforce authentication, and maintain backward compatibility.

Decision Matrix

Scenario	Recommended Approach	Why	Cost Impact
Heavy data transformation (images, encryption, compression)	WebAssembly + TypeScript orchestration	Near-native speed, sandboxed execution, avoids main-thread blocking	Higher initial build complexity, lower server compute costs
Offline-first collaborative editing	CRDTs (Yjs/Automerge) + IndexedDB	Deterministic merge, conflict-free sync, works without connectivity	Increased client memory usage, reduced backend sync infrastructure
AI/Agent integration priority	JSON-LD + REST/GraphQL + Semantic HTML	Machine-readable contracts, bypass-resistant workflows, future-proof	Moderate API development overhead, improved automation compatibility
Real-time dashboards with frequent updates	Service Worker caching + WebSocket fallback	Reduces redundant requests, maintains responsiveness during latency	Higher initial caching logic, lower bandwidth consumption
Legacy codebase migration	SQLite-Wasm + TypeScript wrapper	Preserves SQL queries, avoids full rewrite, runs in-browser	Compilation pipeline setup, gradual refactoring required

Configuration Template

vite.config.ts (Wasm + Service Worker Setup)

import { defineConfig } from 'vite';
import wasm from 'vite-plugin-wasm';
import topLevelAwait from 'vite-plugin-top-level-await';

export default defineConfig({
  plugins: [
    wasm(),
    topLevelAwait(),
  ],
  build: {
    target: 'esnext',
    rollupOptions: {
      output: {
        manualChunks: {
          wasm: ['./pkg/compute_engine.js'],
          vendor: ['idb'],
        },
      },
    },
  },
  worker: {
    format: 'es',
    plugins: () => [wasm(), topLevelAwait()],
  },
  optimizeDeps: {
    exclude: ['compute_engine'],
  },
});

service-worker.ts (Background Sync & Caching)

const CACHE_NAME = 'runtime-cache-v1';
const SYNC_QUEUE = 'sync-queue';

self.addEventListener('install', (event) => {
  event.waitUntil(
    caches.open(CACHE_NAME).then((cache) => cache.addAll(['/index.html', '/assets/main.js']))
  );
});

self.addEventListener('fetch', (event) => {
  event.respondWith(
    caches.match(event.request).then((cached) => cached || fetch(event.request))
  );
});

self.addEventListener('sync', (event) => {
  if (event.tag === 'background-sync') {
    event.waitUntil(processSyncQueue());
  }
});

async function processSyncQueue(): Promise<void> {
  const queue = await getQueueItems();
  for (const item of queue) {
    try {
      await fetch('/api/sync', { method: 'POST', body: JSON.stringify(item) });
      await removeQueueItem(item.id);
    } catch {
      break;
    }
  }
}

Quick Start Guide

1. Initialize the Wasm module: Run wasm-pack build --target web in your Rust directory. Import the generated JavaScript bindings into your TypeScript entry point.
2. Bootstrap local storage: Call openDatabase() on application startup. Wrap all state mutations in persistWorkflow() to ensure IndexedDB synchronization.
3. Register the Service Worker: Add navigator.serviceWorker.register('/sw.js') after the main bundle loads. Test offline behavior by disabling network access in DevTools.
4. Expose structured endpoints: Implement /api/sync and /api/workflows/:id with JSON-LD responses. Validate machine readability using structured data testing tools.
5. Profile execution: Use Chrome DevTools Performance panel to measure main-thread blocking. Migrate any function exceeding 50ms execution time to Wasm or a Web Worker.