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.

Prakash Prajapati Prakash Prajapati I’m a Senior Python Developer specializing in building secure, scalable, and highly available systems. I work primarily with Python, Django, FastAPI, Docker, PostgreSQL, and modern AI tooling such as PydanticAI, focusing on clean architecture, strong design principles, and reliable DevOps practices. I enjoy solving complex engineering problems and designing systems that are maintainable, resilient, and built to scale. Jaime Orts-Caroff Jaime Orts-Caroff I'm a Senior Android developer, open to work in various fields Richard McSorley Richard McSorley Full-Stack Software Engineer with 8+ years building high-performance applications for enterprise clients. Shipped production systems at Walmart (4,000+ stores), Cigna (20M+ users), and Arkansas Blue Cross. 5 patents in retail/supply chain tech. Currently focused on AI integrations, automation tools, and TypeScript-first architectures. 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 : ) hanson1014 hanson1014 Full-stack developer experienced in fixing and deploying AI-generated apps from Lovable, Bolt.new, Cursor, and Replit. I specialize in debugging Supabase integration issues (auth flows, RLS policies, database connections), fixing broken deployments, resolving routing/blank screen problems, and cleaning up messy React/Vite codebases. I also build production apps with the Claude API and have shipped a Mac desktop dev tool (Nexterm from scratch. Based in Hong Kong, fast turnaround. Taufan Taufan I’m a product-focused engineer and tech leader who builds scalable systems and turns ideas into production-ready platforms. Over the past years, I’ve worked across startups and fast-moving teams, leading backend architecture, improving system reliability, and shipping products used by thousands of users. My strength is not just writing code — but connecting product vision, technical execution, and business impact. 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/ rayush33 rayush33 JavaScript (React.js, React Native, Node.js) Developer with demonstrated industry experience of 4+ years, actively looking for opportunities to hone my skills as well as help small-scale business owners with solutions to technical problems Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services Mehdi Ben Haddou Mehdi Ben Haddou - Founder of Chessigma (1M+ users) & many small projects - ex Founding Engineer @Uplane (YC F25) - ex Software Engineer @Amazon and @Booking.com

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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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