Why Attend?

AI coding agents are showing up in every engineering org — and so are the questions procurement and security ask before they’ll sign off. If you’re fielding these in partner conversations, this session is for you:

  • Which model is the code actually running through, and where does that data go?
  • Who owns spend when any engineer can spin up a coding agent with a personal API key?
  • How do you enforce a hard budget per user, team, or org — not just an alert after the spend already happened?
  • What happens when a team has standardized on Claude Code or OpenCode and needs governance layered on top, without a rip-and-replace?
  • Where does this actually sit in a deal you’re already working, and how do you position it without turning it into a side conversation from your core pitch?

In this session, we’ll show exactly what Kimchi does, walk the CLI and console live, and cover how to recognize and qualify the opportunity in your own accounts.

What You’ll Learn

  • What Kimchi is: the CLI coding agent, the model orchestration layer, and the spend console
  • How the one-command migration from Claude Code or OpenCode works in practice
  • Live model switching and provider orchestration, demoed end to end
  • How hard budget caps by user, team, and org work inside the console
  • Where Kimchi fits into an existing partner deal, and how to qualify the opportunity

Session Format

This is a working session, not a slides-only walkthrough. We’ll go hands-on with the CLI, the integrations, live model switching, and the console view of usage, spend, and API keys — then leave room for questions on how this maps to opportunities you’re already working.

Speakers

Who Should Attend

  • Partner Account Executives selling into engineering and platform teams
  • Sales Engineers scoping technical fit for AI coding agent governance
  • Channel Managers evaluating where Kimchi slots into existing partner programs
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