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What Lovepreet demonstrated
Built a working modernization of the KM-Waechter service and fleet-report codebase: fixed the wear calculation, handled missing service readings safely, corrected the nightly report, repaired the quiet mileage-conversion helper bug, and added the missing regression test. The candidate also preserved the business rules, verified the repo with all 11 acceptance checks, and documented what the AI agent got wrong and how they validated the final result.
- Leakage-Free Bug Diagnosis
- Directed AI Code Review
- Acceptance-Driven Verification
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