The author reflects on rejection after a five-round onsite, following an earlier interview. Recruiter feedback identified shortcomings in both design and AI coding. The account concentrates on a 45-minute CoderPad session using a codebase of several hundred lines, with tasks revealed sequentially.
Remembered work included filtering logs by severity, writing unit tests, and batching logs over five-second windows in a multithreaded program. The author initially treated severity filtering as keyword matching and later recognized the ordering requirement. AI helped explain the code and generate changes, but the author remained unsure about understanding the requirements and validating results. A fourth task was left unfinished and its details were not recalled. The author proposes improving requirement restatement, code reading, testing, and time management, while acknowledging uncertainty about the best way to practice AI-assisted interviews.
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