Retrospective: A Month of Hardcore Vibe Coding with Claude for In-Game Local Storage

So this past month at work, I went all-in on Claude vibe coding (I usually stick to Gemini for my own stuff). The company hooked us up with a massive API quota, and I was put in charge of building a brand-new local photo album storage feature for our game. So, I switched things up: I’d play architect and handle the big-picture design, and let Claude Opus 4.6 be the code monkey.

After a solid month of this, here’s the real deal: when you know exactly what you want, AI is an absolute beast. But the second you start iterating on requirements or squashing bugs, human experience is still 100% irreplaceable.

When You Know What You Want, It Kills It

During the early setup phase, as long as I gave it strict boundaries, Claude pumped out exactly what I needed.

For example, to keep the local album files from getting corrupted, I asked for a data safety feature. Claude got it instantly and ripped a flawless WAL (Write-Ahead Logging) pattern straight from SQLite. It nailed the logic for temp files, atomic swaps, and crash recovery. At this point, if your specs are clear, the AI handles the dirty work perfectly and saves you a ton of time writing boilerplate.

The Reality Check: AI's Tunnel Vision Fixing Bugs

But the honeymoon was over the second we started tweaking features and fixing bugs. That’s when Claude’s limits really showed up.

The AI’s biggest blind spot is that it has zero global awareness. When logic clashes, its knee-jerk reaction is to just slap a band-aid on it. It loves tossing in random boolean flags or spinning up new if-else branches instead of taking a step back and actually fitting the fix into the whole system. If you just blindly listen to the AI here, your code will turn into a nightmare to maintain real quick.

A Textbook Screw-Up: Texture2D Cache Ref Counting

I hit a textbook example of this while building a Texture2D cache reference counting system in C#.

The whole point was to manage memory for the album pages. I split the cache into two zones: active and inactive. If a texture has references, it stays active; if references hit zero, it gets dumped into the inactive pool, ready to be trashed.

Things went off the rails when mixing async callbacks with the cache refs. Claude wrote some seriously busted timing logic: it pushed the page to the inactive pool before marking the reference. This caused a massive race condition. If the cache was already full, tossing it to the inactive pool would instantly trigger the cleanup, trashing the page before the async callback even had a chance to mark the reference.

Claude’s big idea to fix this bug? Add a super hacky is_early_marked flag to the data structure to just sidestep the lifecycle issue entirely.

I shut that down immediately. Knowing how the component's lifecycle actually works, I gave it a hard rule: delay the whole inactive page cleanup sweep until after the async op marks the reference. By tweaking the timing at the architecture level, the bug was completely squashed—no dirty, extra flags needed.

The Bottom Line

This whole thing proved that while AI makes you code way faster, it easily hides architectural tech debt.

If a junior dev ran into that async bug, they probably would’ve just merged Claude’s hacky fix. Fast forward a bit, and you've got a dozen useless flags and branches, and the module is totally beyond saving. With vibe coding, you don't have to write every single line yourself, but keeping an eye on the big picture and stopping spaghetti code is a job only humans can do.