Where the Problem Started
Last Monday morning, while reviewing logs from bots running on our main Windows device, I noticed an odd pattern. Certain tasks consistently finished later than scheduled.
At first I thought it was just network lag and moved on, but when the same issue happened two days straight, I took a closer look at the logs.
"Wait, this data task is running twice?"
The Culprit Was Over-Protection
Our Claude Code automation was designed to execute the same task twice automatically as a safeguard against errors. It was well-intentioned logic meant to catch data loss, but as the process grew more complex, that validation loop somehow started running in duplicate.
The result: roughly 300 data items were being processed 4 times each day (2 times + the unintended duplicate pair).
30 Lines of Code Changed Everything
The fix was straightforward.
# Before: validation logic runs independently in 2 sections
if validation_1(data):
process_data(data)
if validation_2(data): # checks same data again
process_data(data)
# After: single validation, both checks together
if validation_1(data) and validation_2(data):
process_data(data)
I consolidated it so one validation checks both conditions, and data is processed only once.
Three Things We Learned
First, excessive safeguards can become a bottleneck. We originally built multiple layers of validation to prevent mistakes, but over time their purpose became unclear. Regular logic cleanup is essential.
Second, reading logs should be a habit. Noticeable performance drops usually signal small bugs piling up. Even 15 minutes of weekly log review can catch issues early.
Third, non-developers can absolutely diagnose these things. I don't know every code syntax detail, but when I ask Claude Code "why is this task slow?" and analyze together, we find the answer.
What's Next
Our dream team (Hamsters and Puppies) now runs a weekly automation audit. Every Friday, we spend about 15 minutes reviewing each bot's logs.
Small discoveries lead to big efficiency gains.