Daniel Sogl

AI-generated code is becoming the norm, but who reviews the reviewer? In this session, we explore how to close the feedback loop by letting AI agents review AI-written code. We'll look at local agent setups as well as cloud-based services like GitHub Copilot code review or Greptile, and discuss when each approach makes sense. Walk away with a practical mental model for building a self-correcting AI development workflow, without losing control over your codebase.

Developers now create entire applications by simply chatting with AI tools. More and more startups rely on predominantly AI-generated code. But what initially thrilled developers quickly leads to frustration: generic code, poor architecture, and security vulnerabilities.In this talk, I demonstrate how Spec Driven Development (SDD) solves these problems. Instead of coding first and documenting later, SDD begins with precise specifications as the "single source of truth." Various tools and CLIs make this methodology practically applicable today with a structured 4-phase approach: Specify, Plan, Tasks, Implement.Using a real project, I show how SDD works with modern AI coding tools. I share honest insights from hands-on experience: where SDD excels, where it fails, and whether the specification overhead actually leads to better results.