AI Glossary

Context Window

The amount of text a model can process at once. Limits how much documentation or code fits into a single working step.

In context

What this means in your company

"Context Window" comes up in almost every Corporathon – usually the moment an idea is supposed to become a working prototype. What matters is not the definition but the question: which concrete step in your process does this term change?

In our hackathons we never explain terms theoretically, but always on your own use case: you build with it, you test with it, and then you decide whether it stays.

Short definition

The amount of text a model can process at once. Limits how much documentation or code fits into a single working step.

All terms

02 – Get Started

Make these terms tangible?
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What other customers say

Voices from real Corporathons.

Verbatim excerpts from public LinkedIn posts by participants.

„24 hours in our office. Pizza everywhere. 5 teams racing to build something real with AI."

Marie Klamer

YOYABA · LinkedIn-Beitrag

„Turns out that's all it takes to go from "I should really learn AI" to actually shipping a working product. No coding experience needed."

Marie Klamer

YOYABA · LinkedIn-Beitrag

„By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own."

Okechukwu Ukaigwe

NavVis · LinkedIn-Beitrag

„You don't need months of preparation. Just a team, a bit of chaos, and the willingness to start."

Lisa Kral

YOYABA · LinkedIn-Beitrag

„24 hours in our office. Pizza everywhere. 5 teams racing to build something real with AI."

Marie Klamer

YOYABA · LinkedIn-Beitrag

„Turns out that's all it takes to go from "I should really learn AI" to actually shipping a working product. No coding experience needed."

Marie Klamer

YOYABA · LinkedIn-Beitrag

„By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own."

Okechukwu Ukaigwe

NavVis · LinkedIn-Beitrag

„You don't need months of preparation. Just a team, a bit of chaos, and the willingness to start."

Lisa Kral

YOYABA · LinkedIn-Beitrag