Rotem Meidan

We run production services with monitoring, SLOs, alerting, and postmortems. We do all that to watch the system, improve it, and act quickly with a short feedback loop. With coding agents, we review the final output and monitor token usage and spending, but rarely measure whether new context, skills, or tools improve the output. We almost never review the process, and how can you improve the process if you don't measure?
This talk makes an attempt at introducing a method for monitoring and improving ADLC, making the process visible by scoring it end to end: intent clarity, context quality, local tool calls, CI runs, PR outcome, and how the change survived production. Each failure signal maps to a treatment (context, skills, tools, guardrails), giving engineers a way to improve ADLC with the same rigor they apply to production systems.

In this talk, we'll discuss how Wix is using Detox internally, how we manage configuration, how we fight flakiness, and some best practices we've developed over the ~3 years of building and using Detox in our CI process. We'll also discuss our endless striving for "0 manual QA", which always seems in reach, if we only overcome that one last technical hurdle.