AI assistants have multiplied the pull requests flowing into mobile codebases, but the process that ships them hasn't changed: the same release trains, the same quality gates, the same release captain coordinating it all. Mobile engineers were already losing roughly a third of every release cycle to coordination overhead and busywork. Now each release carries far more change than that process was built to handle.
That volume lands in two places. Velocity: review queues back up, merged work sits waiting for the next train, and the release becomes the slowest step in the pipeline. Quality: nobody can read every generated line, so every release ships more code that no one has fully checked. And a bad release takes days to fix, long enough for an engineering issue to do real damage to the business.
In this live discussion, we're bringing together experienced mobile engineering leaders who are living this shift day to day. They'll get specific about what strained first, what they changed to protect both speed and stability, and how they run releases where a growing share of the code is AI-generated.
We'll cover:
- Where the work actually piles up now, from review queues to testing gates to release coordination
- How to tell which of your quality gates will strain next, before it breaks
- What these teams have automated, where they keep humans in the loop, and how they draw the line
- How the release captain role is changing as more of the release process runs itself
