Skip to content
View someflydev's full-sized avatar
  • Chicago, IL

Block or report someflydev

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
someflydev/README.md

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.

What I care about

  • 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)

Spring 2026 focus

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

Pinned Loading

  1. agent-context-base agent-context-base Public

    Python

  2. agent-cloud-context-base agent-cloud-context-base Public

    Python

  3. agent-harness-lab agent-harness-lab Public

    Python

  4. language-atlas language-atlas Public

    Python

  5. postgres-foundations postgres-foundations Public

    Python

  6. failure-driven-systems failure-driven-systems Public

    Python