182 articles tagged #Debugging
Modern AI coding assistants can do more than generate code—they can help debug it. Cursor AI's Agent Mode enables iterative debugging by inspecting code, proposing fixes, updating multiple files, and responding to compiler or test feedback. Learn how to use Agent Mode effectively while keeping human
Some of the most difficult software bugs only occur in environments you can't easily recreate. Different operating systems, browsers, hardware, configurations, dependencies, or production data can make reproduction nearly impossible. Learn practical strategies for narrowing the gap
Your Node.js service starts fast but gradually consumes more memory until response times increase or the process crashes. Heap snapshots help identify which objects remain in memory and why they aren't being garbage collected. Learn how to use heap snapshots to diagnose memory bloat and eliminate
Python generators are memory-efficient and ideal for processing large datasets, but they can fail in subtle ways. If your generator pipeline suddenly stops producing data without raising an exception, generator exhaustion is often the culprit. Learn why it happens and how to design robust, reusable
Your SUMIFS formula looks right, but the total is suspiciously low. The culprit is almost always invisible trailing spaces in your criteria column — here's how to find them and fix them fast.
You click a button, the UI updates instantly — then snaps back a second later. Optimistic updates that roll back unexpectedly are a common React pain point. Here's how to diagnose and fix them reliably.
VLOOKUP can only search the leftmost column of your table array — anything else gives you #N/A. Here's why it happens and three practical ways to fix it without rearranging your entire spreadsheet.
Your Pandas pivot_table looks right but returns NaN in half the cells. The culprit is almost always an aggfunc receiving an empty group — here's how to diagnose and fix it cleanly.
Your SUMIFS formula looks correct, but it returns zero — and the culprit is a #N/A, #VALUE!, or #REF! lurking in your criteria range. Here's exactly why it breaks and three reliable ways to fix it.
Pandas groupby() is one of the most powerful tools for data aggregation, but subtle issues such as missing values, duplicate keys, incorrect aggregation functions, or dropped categories can silently produce incomplete results. Learn how to identify and prevent silent data loss in your groupby
Your INDEX MATCH formula looks correct, but it keeps returning #N/A whenever the lookup value starts with a zero. The culprit is almost always a data-type mismatch between text and numbers — here's exactly how to diagnose and fix it.
SUMIFS returning a suspiciously low or incorrect total? If your sum range has merged cells, Excel is only reading the top-left cell of each merge — silently ignoring the rest. Here's how to find and fix it.