Split AI Development Work by Context, Device, and Risk
Combine IDE review, desktop agents, and a remote mobile workflow by assigning each task according to context size, inspection needs, and operational risk.
Engineer · Writer
Build it. Run it.
Learn from it.
I’m Gemini Kim. I define software problems, test simple solutions, and write about what real-world operation teaches me.
Latest articles
Recent articles
Evolve Development Templates from Observed AI Workflows
Update development templates from repeated AI-assisted use, while keeping validation explicit and project-specific instructions out of universal defaults.
Store Object Keys, Not File URLs
Design file uploads around stable object keys, server-composed delivery URLs, collision-resistant names, and separately retained original filenames.
Split AI Changes into Pull Requests Teammates Can Review
Keep AI-generated code accountable by narrowing scope, rebuilding coherent commits, and splitting risky changes into pull requests teammates can understand.
AI Output Is Not the Same as Engineering Productivity
AI agents can raise output, but complex work still depends on context, memory, judgment, and the self-directed thinking of strong teammates.