Choose the tool for the question
A breakpoint pauses a particular moment so that registers, memory, and the call path can be inspected. Logs help record how work progressed over time. Neither is always more accurate or faster. A known calculation boundary is a good place to compare values at a stop; a failure that appears after hours may first need logs to identify a smaller interval. Write down whether the unknown is a value, an order, or a count. That question is more useful than adding indiscriminate output or stopping everywhere.
Record context that connects events
Repeated “failed” messages are difficult to relate when many jobs overlap. A safe operation identifier, stage, error type, or relevant size can connect an event to its surrounding work. Do not log raw credentials or personal data simply to increase detail. Output order and timestamps alone also do not prove causation, especially across threads or buffered asynchronous output. Favor records that test a specific hypothesis over sheer volume. The information should help explain one relevant boundary or ordering relationship.
Observation can change timing
Pausing may trigger external timeouts or change thread scheduling enough to hide a failure. A bug absent under the debugger is not necessarily fixed. Logging also introduces work and can affect ordering. Record how the observation setup differs from the original failure. DBG Desk’s event output includes debugger messages, received target output, and stops; it is not a complete automatic application trace. An event missing from that panel does not prove it did not happen unless the event was actually instrumented to appear there.
Narrow the flow, then inspect values
A practical combination is to use logs to locate the failing interval, obtain a reproducible input, and inspect exact values at a breakpoint. Compare a function’s entry and return conditions. Keep evidence and counterexamples, then remove instrumentation and breakpoints that no longer serve the investigation. Temporary diagnostics should not become accidental permanent behavior. Verify the original failing case after the fix and confirm that it remains corrected without depending on the diagnostic timing changes.
Test a boundary hypothesis
For an incorrect total, logs can first show whether a request was processed twice. If the count is right, stop around the calculation and compare input and output. Different results at particular times may suggest shared state as the next hypothesis, but record the difference separately from that explanation. Gather the evidence needed to confirm or reject the hypothesis and move the observation point when a counterexample appears.