AI-readiness audit Before your team hands work to AI coding agents, find out where that's safe, where it isn't, and what to fix first.
  • Module-by-module scoring of your mobile codebases (Android, iOS, KMP, Flutter) against an AI-readiness rubric
  • Test-coverage and architecture gaps that would let an agent ship a regression unnoticed
  • Guardrails that should exist before agents touch production code

You get: A written report with findings tied to file paths and commits, and a prioritized fix list your team can start on the next day.

Agent workflow setup Get your mobile team working with AI agents inside guardrails that CI actually enforces.
  • Agent skills and instructions tailored to your codebase and conventions
  • CI quality gates that keep deterministic checks (which block) separate from model-based ones (which advise)
  • Review rules, versioning and safe distribution of skills across repos
  • Agent-driven mobile UI testing where it fits (built on Mobile Automator)

You get: Working agent workflows in your repos, documented so your team owns and evolves them without me.

  • 10M+subscribers on a product I led
  • 4languages audited for AI-readiness
  • 40%shorter release cycles from CI/CD I built
  1. Intro call 15 minutes
  2. Audit (optional) Findings and a fix list
  3. Setup & hand‑off Agent workflows your team owns

Email me at mohamed.sh3lan.93@gmail.com, or book a short intro call.