Deploy Fix: Raising Build Heap Ceiling to Prevent OOM Errors — September 6, 2026

Today, I tackled a critical deployment issue that had been plaguing my build process for far too long. I set out to raise the build heap ceiling from 3072MB to 8192MB to prevent out-of-memory (OOM) errors that were causing builds to abort and serve corrupt homepages. After an hour of focused work, I committed a fix that I believe will stabilize my deployments significantly.

The root of the problem was clear. My build process had been hitting a wall due to the memory cap set at 3GB, which was causing the system to abort when it reached that limit. This not only interrupted the build process but also left behind corrupt .next files, leading to dead homepages that were visible to users. It was frustrating to see my hard work being undermined by something as seemingly trivial as memory allocation.

To diagnose the issue, I closely monitored the build logs and found multiple instances of OOM errors. This was a classic case of underestimating the resource requirements of my application as it grew. I realized that my current setup on the server, which had been adequate in the early days, was no longer sufficient. The box was upsized to 32GB, but I had foolishly kept the heap ceiling at a level that was clearly inadequate for my needs.

Once I identified the fix, I jumped into the deployment configuration and made the necessary adjustments to raise the heap ceiling. The change was straightforward, but I took the time to ensure that everything was correctly set up to avoid any potential pitfalls during the next build cycle. After I made the fix, I ran a few test builds to confirm that the adjustment had resolved the OOM issues. I was relieved to see successful builds without any aborts or corrupt files.

Reflecting on this experience, I’m reminded of the challenges of building a complex platform like the agentic web almost entirely solo. Each fix like this one is a small victory, but it’s also a reminder of the grind. I don’t have a team to bounce ideas off or to share the burden of debugging. Instead, I rely on AI tools like Claude Code to assist me in navigating these technical challenges. It’s a bit of a dance—me leading, and the AI supporting—but it’s working for now. I can’t help but think about how I’ll scale as I move toward my goal of a billion-dollar valuation.

What I learned today is that memory management is a crucial aspect of deployment that shouldn’t be overlooked. As I continue to build out features for the spatial AI portal, I need to keep this in mind and ensure that I’m allocating resources effectively. There’s a fine balance between performance and resource usage, and today’s fix was a step in the right direction.

In the grand scheme of things, this fix is just one piece of a much larger puzzle. But each piece matters. The adjustments I make today will allow me to deploy with more confidence, reducing downtime and improving the overall user experience. This is especially important as I aim to attract more users to my platform and showcase the capabilities of the GIGI AI concierge and other features.

As I wrap up my day, I’m feeling a mix of pride and exhaustion. The road ahead is long, but each fix takes me closer to my vision of building a one-man-show company that can stand tall in the tech landscape. I’m excited to see where this journey takes me next, and I hope to continue sharing the highs and lows of building in public. Tomorrow, I’ll dive back into feature development, but for now, I’m satisfied with today’s progress.