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AI coding tools like Claude Code, Cursor, and Copilot have found their way into most engineering teams—yet they are often used in an ad-hoc manner, lacking a consistent methodology. The result? Generated code that works but is difficult to maintain, poorly documented, and barely scalable.

This is precisely where Spec-Driven Development (SDD) comes in. Serving as the methodological backbone of an AI-supported software development lifecycle, it brings structure, reproducibility, and quality to agentic workflows—bridging the gap between "AI generates something" and "AI delivers production-ready software."

In this 30-minute webinar, we demonstrate how ti&m transforms a feature idea into executable code via a machine-readable specification—insights distilled from real-world projects, tool-agnostic, and directly applicable to your own work.

This is a hands-on webinar featuring a live demo: not a theoretical lecture, but a genuine look at an AI-driven SDLC that works in a production environment. You will see the patterns ti&m employs and gain a clear understanding of what a structured path from idea to code looks like.

This webinar offers an honest look at our concepts and serves as a benchmark for anyone serious about deploying AI in production by 2026.

AI-Driven SDLC: From Brainstorming to Production Code (German)

Marketing Expert

Svenja Goltz

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