I’m a backend engineer focused on systems and developer workflows.
I build things that make software development:
- simpler
- more repeatable
- less frustrating
My main public profile is kenjyco, featuring system setup, daily-use shell wrappers, and 15+ interconnected Python libraries published to PyPI as a coherent ecosystem, developed from 2014 to 2025.
- clean, maintainable backend systems
- practical developer tooling (CLI-first where it makes sense)
- reducing complexity in real-world codebases
- workflows that scale across teams, not just individuals
- making AI-assisted development actually usable (not chaotic)
I'm preserving these experiments in AI-assisted development from spring 2026, including project scaffolding, context management, coding-session workflows, and developer tooling. They reflect an earlier stage of my process and do not represent my current development workflow or recommended starting points for new projects.
My current AI-assisted development work is private and is not published on this account.
The focus at the time was exploring how to turn human-directed AI coding tools into structured, repeatable development workflows with results that people can inspect and verify:
- consistent context loading
- prompt + workflow structure
- review and testing discipline
- clean handoffs between sessions
Below are the 7 remaining public projects from that time.
Foundations for prompt-first, structured development workflows
Documents how to frame, execute, and validate bounded AI coding sessions
Cloud-oriented project scaffolding with AI-assisted development workflows
JSON → SQLite → queryable knowledge system for exploring concepts across domains
Structured PostgreSQL curriculum, hands-on Docker labs, and explainable architecture planning
Failure-driven exercises for developing backend, distributed systems, and architecture judgment
Hands-on browser, TypeScript, and React training for backend engineers, with debugging and review exercises