Start by running the failing tests to see the exact errors, then trace each failure to its root cause in the Mako templates or Python code. Fix one bug at a time, re-running tests to confirm the fix and avoid introducing regressions. Finally, explain your reasoning and any trade-offs you considered.
Pro tip: Narrate your debugging process clearly, including hypotheses you test and discard, as this demonstrates structured problem-solving. Also, mention how you'd prevent similar bugs in the future (e.g., adding tests, improving error handling).
Run the test suite to see which tests fail and capture the exact error messages and stack traces. Read the test code to understand what behavior is expected.
For each failure, isolate the relevant template or code section and form a hypothesis about the root cause. Use debugging tools or print statements to inspect variables and template rendering.
Implement a minimal fix for the identified bug, then re-run the specific test to confirm it passes. Repeat for each failure, ensuring fixes don't break other tests.
After all tests pass, review the fixes for code quality and consider edge cases. Add additional tests if needed to cover the fixed scenarios.
Summarize the bugs found, the fixes applied, and any trade-offs made. Discuss how you would prevent similar issues in the future.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.