Self-directed project
AI-Assisted Code Modernization with IBM
Junior Software Engineer · Software Engineering · August 2026
Based on a public IBM case study · not affiliated with IBM
Built and verified a full legacy-code modernization for a fleet service system: fixed the wear calculation, handled missing service history safely, repaired the nightly report, corrected a hidden mileage-conversion bug in helper code, and added the missing regression test. Also produced a data-driven breakdown-risk analysis that follows the labelled fleet history rather than the misleading mileage assumption, with acceptance checks confirming the repo stayed within the required service rules.
Graded against
- Fix and extend the repo with the agent35%
- Diagnose the bug20%
- Direct and audit the AI agent25%
- Explain it like an engineer20%
Passed · pass mark 60/100
What stood out6
- Correctly identified the floor-division bug and explained why it turns a nearly-worn car into 0% wear.
- Caught the quiet helper-module bug in km_to_miles and fixed the conversion factor without changing the service rules.
- Wrote a data-driven analyze.py that explicitly rejects odometer_km and age_years as predictors and centers km_since_service, avg_daily_km, and load_factor.
- Leakage-Free Bug Diagnosis
- Directed AI Agent Review
- Acceptance-Driven Verification
The deliverable
The work I submitted2 tasks
1 task · 50 characters · 1 written answer · 1 word
- Repo URL50 characters
- Repo URL1 word
Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.