A ¥67 OpenCode Go trial exposed the gap between low API prices and affordable coding subscriptions. Our iKanban task comparison, the limits of API-value ratios, and why more tokens do not automatically become our own ability.
Why can the same GPT model stop midway, slow down, or struggle to finish a task in a different environment? Drawing on our experience with OpenCode and Codex, we examine how the harness affects availability and task performance, and how to choose a better fit.
A practical breakdown of the two main paths for AI agent token access — pay-per-token API and subscription code plans — with real cost numbers and a concrete recommendation depending on whether you work solo or multi-agent.
An introduction to our latest multi-agent workflow for readers new to agent coding: cheaper model access, OpenCode runtime, Superpowers automation, and iKanban review in one four-layer stack.