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 an end-to-end fix for a legacy fleet-maintenance service: corrected the wear calculation, handled missing service readings safely, fixed the nightly report’s average and crash path, and repaired a hidden mileage-conversion bug in the helpers. Also added a breakdown-risk analysis grounded in the provided fleet history data and documented the review process in NOTES.md.
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
- Fixed the nearly-worn-car bug by restoring true division so 14,900 km now evaluates to about 99% wear.
- Caught and corrected the quiet helper bug in km_to_miles, which no test directly targeted.
- Built a data-driven breakdown analysis that explicitly rejects odometer_km and age_years as predictors and ranks risk from service-related factors.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- AI Output Auditing
The deliverable
The work I submitted20 tasks
12 tasks · 2.2k characters · JavaScript · 8 written answers · 41 words
- Division Predict73 characters
- Diagnose Line130 characters
- Diagnose Why40 characters
- Audit Findings159 characters
- Audit Why86 characters
- Acceptance ChecklistJavaScript · 71 characters
- Template Repo Click82 characters
- Bob Trial Click200 characters
- Verify Report71 characters
- Exec Pitch900 characters
- Bob Bonus344 characters
- Repo URL52 characters
- Division Predict1 word
- Diagnose Line10 words
- Diagnose Why5 words
- Audit Findings1 word
- Audit Why13 words
- Acceptance Checklist9 words
- Template Repo Click1 word
- Bob Trial Click1 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.