AI-first mobile pipeline
Native iOS and Android where agents run the lifecycle — code, tests, stability, release. The engineering is in the scaffolding.
The pipeline runs the full lifecycle — code, tests, stability, release. The engineering work is extending what agents can own.
I'm a Staff engineer with 15+ years of native mobile experience, currently at eBay on eBay Live. Over the last two years I've been rebuilding how I ship mobile software — native iOS and Android, developed primarily through AI coding agents with a human-in-the-loop architecture. This site documents that pipeline and the work it produces.
Shipping native iOS and Android apps where AI coding agents do most of the code production. The first app went from idea to App Store review in a single day. I'm building this out as ongoing practice, not a one-off experiment.
What's interesting is the scaffolding problem, not the models. Mobile has been slower than web to absorb coding agents — build and emulator loops produce thinner feedback than a web dev server, platform idioms are dense and version-fragmented, runtime state on a device is largely invisible to an agent writing code against it.
The engineer's role shifts. Less typing, more pipeline design. Structuring build output an agent can read. Piping runtime telemetry back into the loop so the agent can see what the running app actually did. Extending the agentic surface past code generation — into tests, stability checks, release. Curating prompt libraries so the agent isn't reinventing Compose idioms from scratch. Reviewing what Claude Code produces.
Fifteen years on Android means native idioms are where my instincts are deepest. The pipeline itself isn't framework-locked — it adapts to wherever the team lives.
At eBay now as Staff Android, working on eBay Live. The technical problems are the interesting kind: latency, state synchronization, graceful degradation under variable networks. I work on real-time systems and AI workflows that scale across a complex live org — live video infrastructure, feed internals, internal agent tooling.
Cofounded FreeMo in the ad tech space. Raised outside funding. Built the stack top to bottom — ad serving, auction logic, attribution. Watched technically better products lose to teams with better distribution.
Golazo Services is my current vehicle for independent work — advisory, investments, and the AI-first mobile lab this site documents.
Current focus: shipping apps through the pipeline, writing up what breaks, and helping mobile teams actually get leverage from AI — through the real work, not abstractions. The posts on this site are the documentation.
Open to a real conversation — Staff or Principal work, a fractional engagement through Golazo Services, or comparing notes with people building mobile coding agents.
Email me at [email protected]. The chat bar answers questions about my work; email's best for everything else.
Native iOS and Android where agents run the lifecycle — code, tests, stability, release. The engineering is in the scaffolding.
Independent work vehicle. Fractional advisory and the AI mobile lab.