Question 1

You've built entire products solo — marketplaces, automation tools, streaming systems. How do you manage that scope alone?

Accepted Answer

I treat every project like a startup with one engineer. I start with the data model, build the API layer with comprehensive endpoints, then layer on the frontend. Wenekt has 179+ API endpoints and 63+ React Native screens — all solo. The key is disciplined architecture upfront: if the foundation is clean, you can move fast without drowning in tech debt. I also leverage modern tooling aggressively to compress timelines.

Question 2

You've shipped in TypeScript, Kotlin, C++, Python, Go, and embedded C. How do you choose?

Accepted Answer

I pick the stack that ships fastest without creating future pain. TypeScript end-to-end gives me type safety from API to mobile app. NestJS for structured backends, React Native when I need cross-platform mobile. PostgreSQL because relational data wins 90% of the time. I am not religious about tools — I have shipped production code in 6+ languages. The right stack is the one that gets the product to users.

Question 3

How do you deliver complex projects in 4-week cycles?

Accepted Answer

Speed comes from experience and discipline, not shortcuts. After 12+ years, I can estimate accurately and identify the critical path fast. I build modular systems where I can ship a working V1 quickly, then iterate. The Jobsalot Claw went from idea to Docker-deployed production tool in under a month — because I focused on the core automation loop first and added features incrementally.

Question 4

How do you maintain code quality when you're the only developer?

Accepted Answer

Solo development actually demands higher quality — there is no one else to catch your mistakes. I invest heavily in the data model and API contracts upfront. TypeScript catches entire categories of bugs at compile time. I write code that is simple enough to debug at 2am — no clever abstractions, just clear patterns. When I built Wenekt's 38-table schema, I spent a full week on the data model. That investment paid for itself ten times over in development speed.

Question 5

How do you approach debugging in production systems?

Accepted Answer

I build observability in from day one — structured logging, health checks, and meaningful error context. My hardware background gives me an edge here: when you have debugged timing issues on an ESP32 with a logic analyser, a Node.js memory leak feels straightforward. I think in layers — network, runtime, application, data — and systematically narrow down where the fault lives. The fastest fix is the one where you already know where to look.

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