quality_assurance · travel · workflow
Cathay achieves 40% tech debt improvement and 63% MTTR reduction with GitHub Copilot
Cathay's developers faced an outdated, fragmented toolchain that eroded the developer experience and slowed delivery, while late-breaking security vulnerabilities created serious risk to business functions and made it difficult to ship secure, compliant solutions.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Developer coding request in IDE
Developers receive real-time suggestions in the IDE to speed up everyday tasks.
Tools used
GitHub CopilotGitHub Advanced SecurityCopilot AutofixGitHub
Outcome
Cathay achieved a 40% year-over-year improvement in tech debt fixes and a 63% decrease in Mean Time to Remediate security vulnerabilities, while rolling out GitHub Copilot to more than 1,000 developers in one week, accepting over four million lines of code, and raising developer satisfaction and NPS scores to 4.4/5.
Results
Time saved63%
Volume40%
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
agentic workflowanomaly detectioncode generationcode diff prhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedtravelcycle time reductionemployee productivityerror reductionvendor customer storycompliance monitoringquality assuranceagentic task execution