Detect and Fix Memory Leaks in Your Node.js Application with Claude
Memory leaks in Node.js are painful to diagnose — heap snapshots are verbose, and the root cause is rarely obvious. Claude can help you read the evidence and trace it to the source.
Take a heap snapshot, then hand it to Claude:
# Generate a snapshot (or use --inspect and Chrome DevTools)
node --expose-gc -e "
const v8 = require('v8');
// ... your app startup
v8.writeHeapSnapshot();
"
claude "Read this heap snapshot summary and identify the top object types by retained size. Which ones look like leak candidates and why?"
For leaks in long-running servers, ask Claude to review your event listener and timer patterns — the most common culprits:
claude "Review the server code in src/server.ts and src/middleware/. Look for missing removeEventListener calls, setInterval without clearInterval, and closures that hold references to large objects or request/response objects."
Claude spots patterns like attaching listeners inside request handlers without cleanup, caches that grow without eviction, and streams that never call .destroy().
When you've found the leak, ask Claude to write a memory regression test:
// Claude can help you write tests like this
it('does not leak memory across requests', async () => {
const before = process.memoryUsage().heapUsed;
for (let i = 0; i < 1000; i++) await makeRequest();
global.gc?.();
const after = process.memoryUsage().heapUsed;
expect(after - before).toBeLessThan(5 * 1024 * 1024); // < 5MB growth
});
Don't stare at heap flamegraphs alone — Claude can read the evidence and point you at the line that's leaking.
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When a page takes five seconds to load or an API endpoint times out under load, tell Claude which route is slow and it traces the entire code path — controller, services, queries, loops — identifying N+1 queries, redundant computations, missing indexes, and cacheable operations, then fixes each bottleneck.
Flaky tests are maddening — they pass locally, fail in CI, pass again when you retry. Tell Claude to read the test, identify the source of non-determinism — timing issues, shared state, date dependencies, or order-dependent setup — and fix the root cause so the test is reliably green or reliably red.
When your app throws an error, don't just Google the message — paste the full stack trace into Claude Code. It reads the trace, opens the referenced files in your codebase, follows the call chain, and pinpoints the actual root cause instead of just explaining the symptom.