Software and mobile
development
SDEN designs and ships production web platforms, SaaS applications, and native and cross-platform mobile apps: from a blank page to App Store, Play Store, and live production.
What this domain covers
Our largest practice: web platforms, native iOS and Android, cross-platform mobile (Flutter, React Native), and the back-end services behind them.
We take a product from a blank page to a live release, or pick up a stalled codebase and rebuild it without losing the logic already baked in.
The stack is deliberately boring: Next.js, TypeScript, and React on the web, PostgreSQL for data, Node on the API, native Swift or Kotlin only where the product earns it. The rule: pick what your team can still maintain in three years, not what trended last quarter.
From challenge to capability
Whatever the domain, the path is the same: scope it, build it with agents, and leave you owning it.
Software and mobile development: the SDEN defaults
Defaults we ship
- TypeScript end-to-end (no untyped boundaries between server and client)
- Component-driven UI with a shared design system
- Server-rendered by default; client-rendered only where interactivity demands it
- App Store and Play Store releases automated through CI
Deliverables
- Architecture decision record (ADR) for every non-trivial choice
- End-to-end typed API contract between front-end and back-end
- CI/CD pipeline that builds, tests, and deploys on every commit
- Documentation written for the next engineer, not the project manager
More from
the SDEN blog.
Cornerstone writing from the SDEN team: what AI changes, what it doesn't, and how a senior team ships the difference.
What modern software engineering actually delivers in 2026
Past the framework debates: how a senior team ships a web platform or mobile app that survives the second year, and where AI now changes the engineering itself.
RAG for business: building knowledge assistants that actually work
Retrieval-augmented generation grounds AI answers in your data. What RAG is, when it beats fine-tuning or a plain prompt, and what separates a knowledge assistant you can trust from a demo.
AI agents for business: where they work, and where a workflow wins
Agents are powerful and easy to get wrong. When a task genuinely needs an agent, when a plain workflow is the better answer, and how to keep an agent safe and affordable in production.
What you get here
Concrete deliverables, not slides.
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Where this capability fits
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