During 2026, I shipped code that I don't fully understand. It was written in a programming language I'm not even fluent in. A year ago, this would have been a fireable offense. There's no way I would have stood on a stage at a Wix Engineering conference, my employers in the crowd, and said that sentence out loud. Last week, it was just another Tuesday. And here's the part that's been keeping me up at night: I was proud of it. That's a paradox, right? If someone else wrote it,

Aviran Mordo, Yaniv Event Haim, Asaf Yonay For decades, the role of the software engineer seemed straightforward: identify a problem and solve it by writing code. But the rise of powerful AI models is beginning to reshape that definition. With systems like Claude Code, Codex, Cursor and other advanced coding assistants, something important has become clear across the industry: writing code itself is gradually becoming a commodity. This does not mean software engineering is b

1. Introduction: The Challenge Understanding the engineering need for AirBot starts with recognizing the scale of the ecosystem it operates within. Wix operates a massive cloud-based development platform serving 250 million users. This generates over 4 billion HTTP transactions daily, feeding a data lake that currently holds 7 petabytes of data. To manage this volume, Wix Data Engineering maintains over 3,500 Apache Airflow pipelines (DAGs) . These pipelines handle everyth

Intro: The Limits of Prompt Engineering In modern AI agent development, many teams, including ours at Wix , start with an intense focus on prompt engineering , carefully crafting instructions for the LLM. We iterated endlessly on system messages and instruction sets to solve a core problem: our AI scheduling assistant was struggling with vague requests, such as "Schedule a meeting with Jake." This simple sentence triggers a surprisingly complex challenge. The system must iden