I use this site as both an engineering notebook and a public record of how I work. Each useful case starts from observed behavior, follows the real data and runtime path, limits the change surface, and ends with verification.
- Evidence before edits: logs, process arguments, database state, network paths, and reproducible failures.
- Small, reversible changes: preserve existing contracts and parallel business flows unless the requirement explicitly changes them.
- Verification at the real boundary: reconcile data, test retries and failures, build release artifacts, and confirm the deployed version.
- AI-assisted, policy-gated: people define the delivery policy and remain accountable; narrowly scoped bilingual blog PRs may auto-merge only after protected checks, while other changes remain human-reviewed.
Core Stack
01Java / Spring / REST APIs
02MySQL / SQL troubleshooting
03Linux / Runtime / Networking
04Docker / GitHub Actions
05WMS / TMS / YMS / SAP integration
06Codex / AI-assisted engineering