Master the Coding Agent Harness: Plan With Frontier Models, Execute in 90% Less Time

​Every serious coding agent - Claude Code, OpenCode, Codex, Cline runs on the same pattern: one model plans, another model executes.

​A coding agent harness splits work between two models with very different jobs: a frontier model reasons through the problem and decides what happens next, while a fast, low-cost model carries out the file edits, test runs, and repetitive work that consumes most of the token usage in any real development workflow.

​In this session, Varun Krishna, Senior Principal Solutions Engineer at SambaNova Systems walks through the coding agent harness pattern end to end. It's hands-on and built for practitioners: you'll leave with a working mental model of the pattern and a concrete way to point your own coding agent at a fast inference platform before the session ends.

​What You'll Learn:

• ​How the planning and execution split works across today's leading coding agents

• ​Why offloading execution to a fast, purpose-built inference platform changes the economics of building with AI

• ​How models handle the execution layer in a real coding agent harness

• ​How the handoff between planning and execution is structured, step by step

• ​How to point your own coding agent at a fast inference platform in minutes