← Hudson River Trading Interview Insights
This tripped me up more than it should have.
Start by categorizing edge cases into input extremes, structural properties, and problem-specific constraints. Then, for each category, quickly derive a minimal test input and expected output, focusing on cases that could break your algorithm. Emphasize that you prioritize edge cases based on likelihood and impact, and that you often write these tests before coding to guide your solution.
Pro tip: In a timed assessment, don't just list edge cases—immediately write them as assertions or comments in your code. This shows systematic thinking and helps you catch bugs early, especially when time is tight.
Group edge cases into input size (empty, single element, large), input values (duplicates, negatives, zeros, special characters), and structural properties (sorted, reverse sorted, all same).
Focus on cases most likely to occur given the problem constraints and those that would cause incorrect results or crashes if unhandled.
For each prioritized edge case, quickly write a minimal input that triggers it, ensuring it's small enough to manually compute the expected output.
Manually derive the correct output for each test input, using the problem statement and your understanding of the algorithm.
Embed these tests as assertions or comments in your solution to validate your algorithm as you code, and mention them in your final explanation.
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