Stack
What's actually under the hood.
Listing every framework you've ever installed is a tell. These are the tools we use day-to-day, grouped by where they earn their keep.
01
Mobile (native)
Day-one Swift and Kotlin. Concurrency, jetpack, the actual platform APIs.
SwiftSwiftUIUIKitSwift ConcurrencyCombineCore DataSwiftDataStoreKit 2FamilyControlsDeviceActivityManagedSettingsKotlinJetpack ComposeCoroutinesRoomWorkManager
02
Cross-platform
When TTM > platform purity. Native escape hatches when it matters.
FlutterDartReact NativeExpoTypeScript
03
AR / Vision / Spatial
Where most studios stop at the demo.
ARKitRealityKitLiDARMetalvisionOSOpenCVEigenPCL
04
AI engineering
Cloud LLMs, on-device models, and the bridge between them.
Core MLOpenAI APIAnthropic APIGemini APIMCPPineconepgvectorWeaviateRAG
05
Local / self-hosted AI
Models that never leave the perimeter.
LlamaQwenMistralDeepSeekGemmaOllamavLLMllama.cppQdrantChromaMilvusGGUFAWQGPTQLoRA
06
ML & RL
Classical ML, deep learning, and reinforcement learning with the math behind it.
PyTorchscikit-learnJAXStable-Baselines3RLlibONNXPandasNumPy
07
Systems
Where high-level stacks run out.
RustCC++GoWASMFFITokio
08
Backend & infra
Servers and pipelines that survive launch day.
Node.jsExpressPythonFastAPIGoSupabaseFirebasePostgreSQLRedisDockerKubernetes
09
Mobile monetization & ops
Subscription economy, analytics, push.
RevenueCatSuperwallMixpanelAmplitudeOneSignalAppsFlyerFirebase Analytics
10
Automation
n8n + custom scripts. Pay-back in weeks.
n8nMakeZapierPythonMCP servers