[05]Technologies
Every tool
has a page now
26 technologies power Chimbuk work — and each gets its own honest explanation: what it is, why we use it, where it shines. Read like documentation, not a logo wall. New here? Start with "Flutter".
Mobile & cross-platform
5 pages- FlutterGoogle's open-source UI toolkit: one Dart codebase renders 60fps interfaces on Android, iOS, web and desktop.
- DartA class-based, soundly-typed language optimized for UI: fast JIT for development velocity, AOT compilation for shipped speed.
- React NativeFacebook's framework for native mobile using React: JavaScript logic driving real platform widgets.
- KotlinModern JVM language, official for Android: null-safe, coroutine-first, huge interop with the Java ecosystem we inherit.
- Android & Play engineeringThe platform itself: Material 3 design language, Play policy, App Bundle mechanics, staged rollout math.
Web
3 pages- Next.jsThe React meta-framework for production web: server components, static generation, image and font pipelines, middleware, edge-ready.
- ReactThe component library powering modern web UIs — hooks, concurrent rendering and server components.
- Tailwind CSSUtility-first CSS with a theme engine: design tokens become classes, and classes become the design system's public API.
Backend & data
5 pages- Node.jsThe JavaScript server runtime: APIs, functions, workers — boring, well-understood, everywhere hireable.
- FirebaseGoogle's app platform: Auth, Firestore, Storage, Functions, Hosting, Messaging, Crashlytics — serverless when it is genuinely cheaper than servers.
- FirestoreDocument database with offline sync, security rules as code and realtime listeners — mobile's default database until measured otherwise.
- PostgreSQLThe relational default: JSONB when documents fit better, pgvector when AI features need memory, row-level security when compliance asks.
- PrismaType-safe database toolkit: schema as source of truth, diffable SQL migrations, a client that errors when data contracts lie.
AI & automation
3 pages- OpenAI APIHosted large-language-model access: GPT-class reasoning, embeddings, function calling.
- Google GeminiGoogle's model family — strong multilingual and long-context behaviour, Android Studio tie-ins, on-device Nano variants.
- RAG (retrieval-augmented generation)Grounding model answers on your own corpus: embeddings, vector search, citations — the architecture that turns 'chatbot' into product.
Quality
3 pages- CI / CD release engineeringPipelines that gate: typecheck, tests, Lighthouse budgets, axe scans, preview environments, staged rollouts.
- Lighthouse CI & Web VitalsThe performance and accessibility scoreboard every release must pass: LCP, INP, CLS budgets, a11y audits, SEO checks.
- App security & privacy engineeringSecurity rules as code, dependency audits, secret hygiene, threat models for permissions, and privacy-as-architecture.
The selection rule
Which stack does your future team hire for? Which one is boring enough to survive staff turnover? Which keeps the option to move? Every page in this catalogue passed those three questions — and each ships into your project's decision log with its trade-offs written down, not whispered.
Missing your tool from the list? If it's justified we'll staff it or partner for it — ask in writing and you'll get a real answer with trade-offs.
Begin the ascent
Stack questions are free.
Two sentences on your constraints — we'll reply with a recommendation and its honest downsides.