Deepseek-harness

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.

Our first experience with DeepSeek Harness, why its everything-is-a-plugin architecture led us to rewrite iKanban on top of it, what composition made possible, and which missing workflow features still required our own solutions.