Claude Code performance

Memory Leak in Long-Running Background Job

A background job that runs periodically starts consuming more memory with each execution. After hours of running, the application runs out of memory and crashes. The job itself is correct but something isn't being cleaned up properly.

Memory usage climbs steadily despite the job appearing to complete normally.

Error Messages You Might See

java.lang.OutOfMemoryError: Java heap space Memory usage climbs to 100% after running job repeatedly Process killed due to memory limit exceeded
java.lang.OutOfMemoryError: Java heap spaceMemory usage climbs to 100% after running job repeatedlyProcess killed due to memory limit exceeded

Common Causes

  1. Large collection (List, Set) accumulating items without clearing
  2. Event listeners registered but never unregistered, accumulating with each run
  3. Database connections or file handles not closed in finally block
  4. Strong references held to completed objects preventing garbage collection
  5. Timer or scheduled task not cancelled, creating new instances on top of old ones

How to Fix It

Use memory profiler to find memory growth (Java: JProfiler, YourKit). Look for accumulating collections. Ensure resources are closed with try-finally or try-with-resources. Unregister event listeners when done. Clear collections: list.clear(). Check for circular references. Use weak references if needed. Monitor memory: jmap -heap PID

Real developers can help you.

Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services Matt Butler Matt Butler Software Engineer @ AWS Caio Rodrigues Caio Rodrigues I'm a full-stack developer focused on building practical and scalable web applications. My main experience is with **React, TypeScript, and modern frontend architectures**, where I prioritize clean code, component reusability, and maintainable project structures. I have strong experience working with **dynamic forms, state management (Redux / React Hook Form), and complex data-driven interfaces**. I enjoy solving real-world problems by turning ideas into reliable software that companies can actually use in their daily operations. Beyond coding, I care about **software quality and architecture**, following best practices for componentization, code organization, and performance optimization. I'm also comfortable working across the stack when needed, integrating APIs, handling business logic, and helping transform prototypes into production-ready systems. My goal is always to deliver solutions that are **simple, efficient, and genuinely useful for the people using them.** Alvin Voo Alvin Voo I’ve watched the tech landscape evolve over the last decade—from the structured days of Java Server Pages to the current "wild west" of Agentic-driven development. While AI can "vibe" a frontend into existence, I specialize in the architecture that keeps it from collapsing. My expertise lies in the critical backend infrastructure: the parts that must be fast, secure, and scalable. I thrive on high-pressure environments, such as when I had only three weeks to architect and launch an Ethereum redemption system with minimal prior crypto knowledge, turning it into a major revenue stream. What I bring to your project: Forensic Debugging: I don't just "patch" bugs; I use tools like Datadog and Explain Analyzers to map out bottlenecks and resolve root causes—like significantly reducing memory usage by optimizing complex DB joins. Full-Stack Context: Deep experience in Node.js and React, ensuring backends play perfectly with mobile and web teams. Sanity in the Age of AI: I bridge the gap between "best practices" and modern speed, ensuring your project isn't just built fast, but built to last. David Olverson David Olverson Solo dev shipping production apps with AI-assisted development. I specialize in rescuing broken Lovable/Bolt/Cursor builds and taking them to production. 10+ apps shipped including SaaS CRMs, gaming platforms, real estate tools, and Discord bots. Stack: Next.js 16, TypeScript, Tailwind CSS, FastAPI, PostgreSQL, Prisma. I use Claude Code with 50+ custom skills for rapid delivery. Average turnaround: 2-4 weeks from broken prototype to production. Krishna Sai Kuncha Krishna Sai Kuncha Experienced Professional Full stack Developer with 8+ years of experience across react, python, js, ts, golang and react-native. Developed inhouse websearch tooling for AI before websearch was solved : ) Basel Issmail Basel Issmail ’m a Senior Full-Stack Developer and Tech Lead with experience designing and building scalable web platforms. I work across the full development lifecycle, from translating business requirements into technical architecture to delivering reliable production systems. My work focuses on modern web technologies, including TypeScript, Angular, Node.js, and cloud-based architectures. I enjoy solving complex technical problems and helping teams turn product ideas and prototypes into working platforms that can grow and scale. In addition to development, I often collaborate closely with product managers, business analysts, designers, and QA teams to ensure that solutions align with both technical and business goals. I enjoy working with startups and product teams where I can contribute both as a hands-on engineer and as a technical partner in designing and delivering impactful software. Vlad Temian Vlad Temian 15+ years shipping production infrastructure for startups. Former CTO at qed.builders (acquired by The Sandbox). Cursor ambassador and agentic tooling builder. I've scaled systems, automated deployments, and built observability tools for AI coding workflows. I specialize in taking vibe-coded apps from broken prototype to production-ready: fixing Supabase auth/RLS, Stripe integrations, deployment pipelines, and cleaning up AI-generated spaghetti. I build tools in this space (agentprobe, claudebin, micode) and understand both sides: how AI generates code and why it breaks. https://blog.vtemian.com/ Anthony Akpan Anthony Akpan Developer with 8 years of experience building softwares fro startups Matthew Jordan Matthew Jordan I've been working at a large software company named Kainos for 2 years, and mainly specialise in Platform Engineering. I regularly enjoy working on software products outside of work, and I'm a huge fan of game development using Unity. I personally enjoy Python & C# in my spare time, but I also specialise in multiple different platform-related technologies from my day job.

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Frequently Asked Questions

How to find memory leaks?

Use profiler (JProfiler, YourKit, Chrome DevTools). Take heap dumps before/after memory growth. Compare objects in memory.

How to fix common memory leaks?

Use try-finally for resource cleanup. Unregister listeners: obj.removeEventListener(). Clear collections before reuse: list.clear(). Use weak references for caches.

What's a proper resource cleanup pattern?

try-with-resources (Java 7+): try (Resource r = new Resource()) { use r } (auto-closes). Or try-finally with cleanup in finally block.

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