Uploaded July 2026 | Updated September 2026, 2 weeks ago
Watch the recording as Varun Krishna breaks down the coding agent harness architecture that powers every serious coding agent — Claude Code, OpenCode, Codex, Cline — all running on the same pattern: one model plans, another model executes.
He walked through how splitting planning and execution across two models and routing execution to a fast inference platform can cut token costs by up to 90% without sacrificing quality.
What we covered:
→ How the planning/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
→ Why treating every step with the same model wastes money and slows your pipeline down
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👉 Learn more about Data Science Dojo here:
datasciencedojo.com
👉 Watch the latest video tutorials here:
datasciencedojo.com/tutorials
👉 See what our past attendees are saying here:
https://datasciencedojo.com/data-scie...
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At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook.
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🔗 Subscribe to our newsletter for data science content & infographics: datasciencedojo.com/newsletter
Watch the recording as Varun Krishna breaks down the coding agent harness architecture that powers every serious coding agent — Claude Code, OpenCode, Codex, Cline — all running on the same pattern: one model plans, another model executes.
He walked through how splitting planning and execution across two models and routing execution to a fast inference platform can cut token costs by up to 90% without sacrificing quality.
What we covered:
→ How the planning/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
→ Why treating every step with the same model wastes money and slows your pipeline down
-----------
👉 Learn more about Data Science Dojo here:
datasciencedojo.com
👉 Watch the latest video tutorials here:
datasciencedojo.com/tutorials
👉 See what our past attendees are saying here:
https://datasciencedojo.com/data-scie...
--
At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook.
--
🔗 Subscribe to our newsletter for data science content & infographics: datasciencedojo.com/newsletter
