Platform Lock-In Destroys Agentic Coding Efficiency

Platform lock in destroys the efficiency of agentic coding.

Agent skills are highly efficient. They are token optimized, and you can reduce bloat by making them specific and optimizing their keywords.

The problem is these skills are currently native to specific ecosystems like Claude Code. If you move to a new environment, your customized skills break. That friction severely limits your throughput.

I built junctions that globalize these skills and make them platform agnostic. By pointing Cursor, Amp Code, and Google Antigravity to a single external source of truth, I can operate Cursor exactly how I operate Claude Code .

The result: portability that scales. Your workflows, subagents, and optimization logic ship with you, not against you. This surfaces consistency, reduces context switching, and creates capacity without compounding technical debt.

The IDE you use today might lose the market tomorrow. This architecture ensures your productivity scales regardless of who wins the tooling war.

This scales on top of the foundation I recently demonstrated live at the AI Engineering event hosted by Cyrus Mobini (sponsored by TELUS and L-SPARK), where I deployed custom terminal agents.

If you are building deeply integrated agentic systems and want to discuss how to structure platform independence, send me a DM. Let's schedule a call.