Maintainx Performance TuningSAFE

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The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: maintainx-performance-tuning
description: 'Optimize MaintainX API integration performance.

  Use when experiencing slow API responses, optimizing data fetching,

  or improving integration throughput with MaintainX.

  Trigger with phrases like "maintainx performance", "maintainx slow",

  "optimize maintainx", "maintainx caching", "maintainx faster".

  '
allowed-tools: Read, Write, Edit, Bash(npm:*)
version: 1.11.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags:
- saas
- maintainx
- api
- performance
compatibility: Designed for Claude Code
---
# MaintainX Performance Tuning

## Overview

Optimize MaintainX integration performance with caching, connection pooling, efficient pagination, and request deduplication.

## Prerequisites

- MaintainX integration working
- Node.js 18+
- Redis (recommended for production caching)
- Performance baseline measurements

## Instructions

### Step 1: Connection Pooling with Keep-Alive

```typescript
// src/performance/pooled-client.ts
import axios from 'axios';
import http from 'node:http';
import https from 'node:https';

// Reuse TCP connections instead of opening new ones per request
const httpAgent = new http.Agent({ keepAlive: true, maxSockets: 10 });
const httpsAgent = new https.Agent({ keepAlive: true, maxSockets: 10 });

const client = axios.create({
  baseURL: 'https://api.getmaintainx.com/v1',
  headers: {
    Authorization: `Bearer ${process.env.MAINTAINX_API_KEY}`,
    'Content-Type': 'application/json',
  },
  httpAgent,
  httpsAgent,
  timeout: 30_000,
});

// Benefit: Eliminates TCP handshake + TLS negotiation per request
// Typical improvement: 100-200ms saved per request
```

### Step 2: Multi-Level Caching

```typescript
// src/performance/cache.ts

interface CacheLayer<T> {
  get(key: string): Promise<T | undefined>;
  set(key: string, value: T, ttlMs: number): Promise<void>;
}

// L1: In-memory (fastest, per-process)
class MemoryCache<T> implements CacheLayer<T> {
  private store = new Map<string, { value: T; expiresAt: number }>();

  async get(key: string) {
    const entry = this.store.get(key);
    if (entry && entry.expiresAt > Date.now()) return entry.value;
    this.store.delete(key);
    return undefined;
  }

  async set(key: string, value: T, ttlMs: number) {
    this.store.set(key, { value, expiresAt: Date.now() + ttlMs });
  }
}

// L2: Redis (shared across processes)
class RedisCache<T> implements CacheLayer<T> {
  constructor(private redis: any) {}

  async get(key: string) {
    const data = await this.redis.get(`mx:${key}`);
    return data ? JSON.parse(data) : undefined;
  }

  async set(key: string, value: T, ttlMs: number) {
    await this.redis.setex(`mx:${key}`, Math.ceil(ttlMs / 1000), JSON.stringify(value));
  }
}

// Multi-level cache: check L1 first, then L2, then fetch
class MultiCache<T> {
  constructor(private l1: CacheLayer<T>, private l2: CacheLayer<T>) {}

  async getOrFetch(key: string, ttlMs: number, fetcher: () => Promise<T>): Promise<T> {
    // Check L1
    let value = await this.l1.get(key);
    if (value !== undefined) return value;

    // Check L2
    value = await this.l2.get(key);
    if (value !== undefined) {
      await this.l1.set(key, value, ttlMs / 2); // L1 shorter TTL
      return value;
    }

    // Fetch from API
    value = await fetcher();
    await this.l1.set(key, value, ttlMs / 2);
    await this.l2.set(key, value, ttlMs);
    return value;
  }
}
```

### Step 3: DataLoader for Batch Loading

When multiple parts of your app need the same work order, batch and deduplicate:

```typescript
// src/performance/dataloader.ts
import DataLoader from 'dataloader';

const workOrderLoader = new DataLoader<number, any>(
  async (ids: readonly number[]) => {
    // Batch: fetch multiple work orders in parallel
    const results = await Promise.all(
      ids.map((id) =>
        client.get(`/workorders/${id}`).then((r) => r.data)
      ),
    );
    // Return in same order as input ids
    return ids.map((id) => results.find((r) => r.id === id) || null);
  },
  {
    maxBatchSize: 25,
    cacheKeyFn: (id) => String(id),
  },
);

// These 3 calls collapse into 1 batched operation:
const [wo1, wo2, wo3] = await Promise.all([
  workOrderLoader.load(100),
  workOrderLoader.load(200),
  workOrderLoader.load(100), // deduped, same as first
]);
```

### Step 4: Efficient Pagination

```typescript
// Fetch only the fields you need (if API supports field selection)
// Use larger page sizes to reduce round trips

async function efficientFetchAll(client: any, endpoint: string, key: string) {
  const all = [];
  let cursor: string | undefined;
  let pageCount = 0;

  const startTime = Date.now();

  do {
    const { data } = await client.get(endpoint, {
      params: { limit: 100, cursor }, // Max page size
    });
    all.push(...data[key]);
    cursor = data.cursor;
    pageCount++;
  } while (cursor);

  const elapsed = Date.now() - startTime;
  console.log(`Fetched ${all.length} items in ${pageCount} pages (${elapsed}ms)`);
  return all;
}

// Parallel pagination for independent resources
async function fetchAllResources(client: any) {
  const [workOrders, assets, locations] = await Promise.all([
    efficientFetchAll(client, '/workorders', 'workOrders'),
    efficientFetchAll(client, '/assets', 'assets'),
    efficientFetchAll(client, '/locations', 'locations'),
  ]);

  return { workOrders, assets, locations };
}
```

### Step 5: Request Deduplication

```typescript
// src/performance/dedup.ts

class RequestDeduplicator {
  private inflight = new Map<string, Promise<any>>();

  async dedupe<T>(key: string, fetcher: () => Promise<T>): Promise<T> {
    if (this.inflight.has(key)) {
      return this.inflight.get(key)! as Promise<T>;
    }

    const promise = fetcher().finally(() => {
      this.inflight.delete(key);
    });

    this.inflight.set(key, promise);
    return promise;
  }
}

const dedup = new RequestDeduplicator();

// 10 concurrent calls to getWork

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.