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