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

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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/ Kingsley Omage Kingsley Omage Fullstack software engineer passionate about AI Agents, blockchain, LLMs. Jen Jacobsen Jen Jacobsen Iโ€™m a Full-Stack Developer with over 10 years of experience building modern web and mobile applications. I enjoy working across the full product lifecycle โ€” turning ideas into real, well-built products that are intuitive for users and scalable for businesses. I particularly enjoy building mobile apps, modern web platforms, and solving complex technical problems in a way that keeps systems clean, reliable, and easy to maintain. Milan Surelia Milan Surelia Milan Surelia is a Mobile App Developer with 5+ years of experience crafting scalable, cross-platform apps at 7Span and Meticha. At 7Span, he engineers feature-rich Flutter apps with smooth performance and modern UI. As the Co-Founder of Meticha, he builds open-source tools and developer-focused products that solve real-world problems. Expertise: ๐Ÿ’ก Developing cross-platform apps using Flutter, Dart, and Jetpack Compose for Android, iOS, and Web. ๐Ÿ–‹๏ธ Sharing insights through technical writing, blogging, and open-source contributions. ๐Ÿค Collaborating closely with designers, PMs, and developers to build seamless mobile experiences. Notable Achievements: ๐ŸŽฏ Revamped the Vepaar app into Vepaar Store & CRM with a 2x performance boost and smoother UX. ๐Ÿš€ Launched Compose101 โ€” a Jetpack Compose starter kit to speed up Android development. ๐ŸŒŸ Open source contributions on Github & StackOverflow for Flutter & Dart ๐ŸŽ–๏ธ Worked on improving app performance and user experience with smart solutions. Milan is always happy to connect, work on new ideas, and explore the latest in technology. Nam Tran Nam Tran 10 years as fullstack developer Alvin Voo Alvin Voo Iโ€™ve watched the tech landscape evolve over the last decadeโ€”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 causesโ€”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. Franck Plazanet Franck Plazanet I am a Strategic Engineering Leader with over 8 years of experience building high-availability enterprise systems and scaling high-performing technical teams. My focus is on bridging the gap between complex technology and business growth. Core Expertise: ๐Ÿš€ Leadership: Managing and coaching teams of 15+ engineers, fostering a culture of accountability and continuous improvement. ๐Ÿ—๏ธ Architecture: Enterprise Core Systems, Multi-system Integration (ERP/API/ETL), and Core Database Structure. โ˜๏ธ Cloud & Scale: AWS Expert; architected systems handling 10B+ monthly requests and managing 100k+ SKUs. ๐Ÿ“ˆ Business Impact: Aligning tech strategy with P&L goals to drive $70k+ in monthly recurring revenue. I thrive on "out-of-the-box" thinking to solve complex technical bottlenecks and am always looking for ways to use automation to improve business productivity. 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 Prakash Prajapati Prakash Prajapati Iโ€™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. 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.

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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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