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kingkyylian/README.md

Huseyin Kagan Isik

I build local-first developer tools for AI agents, security automation, and verifiable workflows.

Current focus: small, auditable CLIs and native tools that make AI-assisted development testable instead of opaque.

Shipping

  • AgentFit tests AGENTS.md, CLAUDE.md, Cursor rules, Copilot instructions, and coding-agent setup docs like product surface.
  • Linwarden audits Linux host hardening without root, daemons, network calls, or heavyweight compliance tooling.
  • HandoffKit creates deterministic resume packets for interrupted AI coding sessions.
  • Flowline is an early macOS local context layer for developer workflows.
  • RealityKit Pipeline Guide keeps Blender-to-RealityKit asset work reproducible with CLI gates and evidence.

Proof Points

  • RedisInsight maintainers merged an AgentFit-found stale-command fix.
  • AgentFit ships as an npm CLI and reusable GitHub Action.
  • Linwarden ships on PyPI with Markdown, JSON, SARIF, a composite GitHub Action, and signed releases.
  • HandoffKit ships as an npm CLI for Codex, Claude Code, Cursor, Gemini, ChatGPT, and generic-agent handoffs.

Stack

TypeScript, Node.js, Python, Swift, SwiftUI, AppKit, React, Next.js, PostgreSQL, GitHub Actions, local-first CLI design, security automation, AI agent workflows.

Pinned Loading

  1. agentfit agentfit Public

    Test whether AGENTS.md and coding-agent instructions actually work.

    TypeScript 4 1

  2. linwarden linwarden Public

    Rootless Linux host inventory and hardening audit CLI

    Python 2

  3. handoffkit handoffkit Public

    Clean handoff packets for interrupted AI coding sessions.

    TypeScript

  4. flowline flowline Public

    Early preview local-first macOS context layer for developer workflows.

    Swift

  5. realitykitpipelineguide realitykitpipelineguide Public template

    Command-first Blender -> USDZ -> RealityKit asset pipeline toolkit with CLI and iOS verification fixture.

    Python 1