Originally published at orquesta.live/blog/tracing-ai-code-execution-complete-audit-trail When AI writes your code, it’s not just about the magic of automation. It’s about ensuring that every step taken by the AI is transparent and accountable. At Orquesta, we've built a system where each action, from prompt to deployment, leaves a breadcrumb trail that can be followed and audited. Here’s why it matters. The Need for a Comprehensive Logging System AI-driven code generation introduces a level of abstraction between the developer and the actual code. While this abstraction can enhance productivity, it also raises questions about accountability. What if something goes wrong? How do we trace it back to its source? Complete logging is essential for building trust, not just between the team members, but also in the system itself. Here are the core components of Orquesta's audit trail: Prompt History Every interaction begins with a prompt. In Orquesta, we log each prompt submitted by a user.…