Claude Code storage

Temporary Files Accumulating and Filling Disk Space

Your application creates temporary files for processing (image transforms, PDF generation, CSV exports, file uploads) but never deletes them afterward. Over days or weeks, these orphaned files accumulate and eventually fill the disk, causing the application to crash or become unresponsive.

This is a silent issue that doesn't appear during development or testing because the files accumulate slowly. In production, you first notice it when the server runs out of disk space, uploads start failing, or the database can't write its WAL files.

The root cause is that Claude Code generated the file creation logic but didn't include cleanup logic, error handling that cleans up on failure, or a scheduled cleanup job.

Error Messages You Might See

Error: ENOSPC: no space left on device OSError: [Errno 28] No space left on device Disk quota exceeded write ENOSPC Failed to write WAL: disk full
Error: ENOSPC: no space left on deviceOSError: [Errno 28] No space left on deviceDisk quota exceededwrite ENOSPCFailed to write WAL: disk full

Common Causes

  • No cleanup after processing — Files are created in /tmp but fs.unlink() or os.remove() is never called after use
  • Error paths skip cleanup — When processing fails with an exception, the temp file is never deleted because cleanup is in the success path only
  • No try/finally block — File cleanup isn't in a finally block, so any thrown error leaves the file behind
  • Missing cron job — No scheduled task to clean up files older than a certain age
  • Unique filenames every request — Using UUID-based filenames means no overwriting of old files, just endless accumulation

How to Fix It

  1. Always clean up in a finally block — Wrap file operations in try/finally (or use Python's tempfile.NamedTemporaryFile with delete=True)
  2. Use streaming instead of temp files — Pipe data between transforms without writing intermediate files to disk
  3. Implement a cleanup cron job — Schedule a task to delete files in /tmp older than 1 hour
  4. Set tmpwatch or systemd-tmpfiles — Configure OS-level cleanup of temp directories on a schedule
  5. Monitor disk usage — Set up alerts for disk usage above 80% to catch accumulation before it causes outages

Real developers can help you.

Antriksh Narang Antriksh Narang 5 years+ Experienced Dev (Specially in Web Development), can help in python, javascript, react, next.js and full stack web dev technologies. 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. 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 Jacek Rozanski Jacek Rozanski Senior PHP/Symfony developer and DevOps engineer with 20+ years of professional experience, running opcode.pl (web development agency, est. 2004). Day job: I'm the sole backend developer at merketing company where I own and maintain 11 PHP/Symfony microservices on AWS (ECS Fargate, RDS, S3, CloudFront), handle the full CI/CD pipeline (Bitbucket Pipelines, Docker), and manage monitoring with Sentry and CloudWatch. These services handle high request volumes in production every month. What I bring to AI-built apps: - I audit and fix security issues (OWASP methodology), performance bottlenecks, and architectural problems in codebases generated by Cursor, Claude Code, Lovable, Bolt, and v0 - I refactor AI-generated prototypes into production-grade applications with proper error handling, testing, and clean architecture (SOLID, DDD, hexagonal architecture) - I set up the infrastructure AI tools don't touch: AWS hosting, CI/CD pipelines, automated deployments, database optimization, monitoring, and alerting - I integrate external services: payment providers, email systems, partner APIs, SSO/auth Tech stack: PHP 8.x, Symfony, React, Next.js, PostgreSQL, MySQL, Docker, AWS (ECS, RDS, S3, SQS/SNS, CloudFront), Terraform, Supabase. I also use AI tools daily (Claude Code, Cursor) in my own workflow, so I understand both the strengths and the gaps in AI-generated code. Based in Poland (CET timezone). Available for async work and calls during EU/US business hours. 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. PawelPloszaj PawelPloszaj I'm fronted developer with 10+ years of experience with big projects. I have small backend background too Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services Costea Adrian Costea Adrian Embedded Engineer specilizing in perception systems. Latest project was a adas camera calibration system. 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. BurnHavoc BurnHavoc Been around fixing other peoples code for 20 years.

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Frequently Asked Questions

How do I find what's filling my disk?

Run 'du -sh /tmp/* | sort -rh | head -20' to find the largest items in /tmp. Use 'df -h' to see overall disk usage. Check your app's upload and cache directories too.

How do I prevent temp file accumulation?

Use language-specific temp file APIs that auto-delete (Python's tempfile, Node's tmp library with cleanup option). Always delete in a finally block and add a cron job as a safety net.

Related Claude Code Issues

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