SuperQode makes coding-agent harnesses yours

The important idea is treating the harness—not just the model—as an engineering asset you own, version, measure, and improve.

• –HarnessSpec makes tools, memory, policies, workflows, and model routing portable and repository-owned
• –Support for GLM-5.2 and other open models targets the biggest gap in local AI coding: orchestration quality
• –Evaluation and regression gates give teams a way to optimize cost without blindly trading away code quality
• –Runtime independence reduces lock-in across Codex, Claude, Copilot, ACP agents, and local inference stacks
• –The 75% cost-reduction claim is compelling, but developers should validate it against their own workload, context usage, and verification requirements