From a Berlin apartment to 4,200+ developers across 38 countries.
DeepNest was built on a simple premise: the most valuable hours a developer has should be spent on architecture, problem-solving, and creative engineering — not writing the same scaffolding code for the hundredth time. We build AI that handles the repetitive work so your team can focus on what actually matters.
Lena Kruger founded DeepNest in Berlin with a clear mandate: build AI tooling that makes real developers measurably faster on real production code.
Our closed beta launched with 500 developers and support for 12 programming languages. Early feedback shaped the test generation and refactoring features.
Public launch brought us to 2,000 active developers within the first 90 days. The VS Code extension became our most-loved integration.
Enterprise tier launched with SSO, audit logs, and dedicated support. DeepNest now serves engineering teams in 38 countries.
Every decision we make starts with a simple question: does this make developers' lives better? We build for the people writing the code, not for the dashboards reviewing it.
AI-generated code must be production-ready. We test every suggestion against real-world patterns and maintain strict quality benchmarks before shipping any model update.
We show our work. Every suggestion DeepNest makes comes with context — where it came from, why it was chosen, and how confident the model is. No black boxes.