The Code That Said 'Wait' — And How I Found the Right Path
In a recent build session for Arise & Shine Transporters, I encountered an unexpected problem that stalled progress. With the help of AI collaboration, I was able to find a solution that made the system more efficient and reliable.
I was working on Arise & Shine Transporters, trying to optimize the fleet tracking system. The goal was to ensure that the GPS data was being processed in real time and that the dashboard would update accurately. But something wasn’t working — the queries were stalling, and the system wasn’t responding as expected. I had to figure out what was causing the delay, and I wasn’t sure where to start.
Claude suggested looking at the data flow. It pointed out that the system was trying to process a large volume of telemetry data all at once. That could be the reason for the slowdown. I checked the database queries and saw that the system was attempting to load all 1.9 million rows of telemetry data every time the dashboard was accessed. That’s not efficient, and it certainly wasn’t scalable.
Codex then suggested a different approach. Instead of loading all the data at once, we could process it in smaller, manageable chunks. It also recommended implementing a caching system for frequently accessed data, which would reduce the load on the database and improve performance. I tried applying this change, and it made a noticeable difference.
The real breakthrough came when I introduced a new feature: filtering the telemetry data based on the driver’s current truck before scanning their speed history. This reduced the amount of data being processed and made the dashboard much more responsive. The system was no longer stalling, and the queries were running smoothly.
This experience showed me how much AI can help in identifying the root cause of a problem and suggesting practical solutions. It also reminded me that building with AI isn’t just about writing code — it’s about understanding the data, the system, and the people who use it. When the code finally said ‘yes,’ it was a moment of clarity that made everything else fall into place.
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