Zertifiziert
Selbstgesteuertes Projekt
AI-Assisted Code Modernization with IBM
Junior Software Engineer · Softwareentwicklung · September 2026
84/ 100
Basierend auf einer öffentlichen Fallstudie von IBM · nicht mit IBM verbunden
Built and verified a full legacy-code modernization for KM-Waechter: corrected the service-wear calculation, handled missing readings safely, fixed the nightly report’s average and crash path, and swept the helper modules to catch a hidden mileage-conversion bug. Also added the missing report test, produced a data-driven breakdown-risk analysis, and documented the verification process in NOTES.md.
Bewertet nach
- Fix and extend the repo with the agent35%
- Diagnose the bug20%
- Direct and audit the AI agent25%
- Explain it like an engineer20%
Bestanden · Bestehensgrenze 60/100
Was herausstach6
- Fixed the nearly-worn-car bug with true division so 14,900 km now evaluates to about 99% wear instead of 0.
- Handled missing last-service readings as unknown rather than zero, preventing false service flags and report crashes.
- Found and corrected the quiet fleet_utils.km_to_miles conversion bug that no test directly caught.
- Ran and documented a full acceptance check with all 11 verify.py checks passing.
- Leakage-Free Bug Diagnosis
- Directed Verification with Acceptance Checks