Cover Image for Corti Models Workshop: Running Your Coding Agent on Sovereign EU Infra
Cover Image for Corti Models Workshop: Running Your Coding Agent on Sovereign EU Infra
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Presented by
Corti
Hosted By
192 Went

Corti Models Workshop: Running Your Coding Agent on Sovereign EU Infra

Virtual
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Past Event
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About Event

What does great engineering look like in the AI native era? Step 1: Break up with Claude.

Good engineers, unreliable AI output, climbing bills. Something's off. Time to break up with Claude.

  • AI coding tools are inconsistent. Some days they save hours, other days they produce confident, broken code that takes longer to fix than writing it yourself.

  • That's not a model problem. It's a workflow problem. Most engineers never learned how to work with an AI coding agent, they just started using one.

  • The bill keeps climbing.

  • If you're in healthcare or another regulated industry, sending your codebase and data to a closed US model is its own risk on top of the cost.

In this workshop, we'll show your team what separates engineers who get real leverage out of AI coding tools from engineers who get noise, and give them a practical way of working they can start using the next day.

We'll do it live, on Corti Models, frontier LLMs on sovereign EU infrastructure, built to run in your coding agent.

  • Nothing is stored

  • Everything runs on European infrastructure, GDPR compliant

  • A fraction of the cost of closed US providers

Speakers

  • Our founder, Andreas Cleave, giving relationship advice on how to break up with Claude and why we built Corti Models.

  • Henrik Cullen, our VP of Product, on how to optimize Corti Models to 3x productivity and cut your agentic coding cost in half.

  • Steffen Karlsson, on our Platform team, on how CLI, harness, and model actually fit together, and what it takes to run agentic coding on sovereign infrastructure without your repo ever leaving Europe.

Agenda

  • Intro: Introduction to Corti Models

  • The problem: Why most teams are using AI coding tools wrong, and what changes when you fix it

  • The habits: What separates engineers who get real output from AI agents from engineers who get noise

  • Live build: A real coding task, done live, start to finish, with the agent doing the work and a human reviewing it

  • Where you stand: The path to AI native engineering, and what the next step looks like

  • The challenge: A real bug or feature, shipped end to end, for your team to try

Bring your questions. We'll leave time at the end for Q&A.

Explore More on Corti Models

Learn more about Corti Models: https://corti.ai/models

Explore Docs: https://docs.corti.ai/models/welcome

Get started today: https://console.corti.app/corti-models

Avatar for Corti
Presented by
Corti
Hosted By
192 Went