Technologies
The stack we work in, and when we would pick something else
We choose technology for the system's lifespan, your team's skills and your hosting constraints. Each page covers what we build with the tool and where it is the wrong choice.
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Frontend
- AngularA structured framework for applications that will outlast the developers who started them.
- Next.jsOne framework for the marketing site, the app and the API behind it, deployed together.
- ReactComponent-based interfaces built to be extended by whoever touches the codebase next.
- TypeScriptTypes shared between frontend and backend so contract mismatches surface at build time, long before production.
- Vue.jsTemplate-based components that stay readable as a team grows past the original developers.
Backend
- DjangoA batteries-included framework where the admin panel and the auth system are not something we have to build.
- .NETA statically typed, long-term-supported platform for backends that need to run correctly for a decade.
- FastAPIAn async-first API framework where the request validation and the documentation come from the same type definitions.
- Go (Golang)A small language on purpose, built for services that need to be fast, concurrent and easy to operate.
- Java & Spring BootA verbose language on purpose, so a system built by one team stays readable to the next one.
- LaravelA PHP framework with enough structure to stay maintainable and enough convention to ship quickly.
- Node.jsOne language across frontend and backend, and an event loop built for high-concurrency I/O.
- PythonThe language we reach for when a backend has to talk to data, models and a dozen other systems at once.
- Ruby on RailsConvention over configuration, so the decisions that do not matter get made for you.
Mobile
- FlutterOne Dart codebase rendered by its own engine, so the interface looks identical on iOS and Android.
- Kotlin (Android)Native Android built in Kotlin, with Jetpack Compose for the interface and coroutines for everything that has to wait on the network.
- RNReact NativeNative platform components driven by a React codebase your web team can already read.
- Swift (iOS)Direct access to Apple's frameworks, for products where the iOS experience is not something to approximate.
Cloud & Infrastructure
- AWSAWSWe build and run products on AWS, from a single Lambda function to a multi-account setup with dozens of services.
- MAMicrosoft AzureWe build on Azure for organizations already standardized on Microsoft's identity and productivity stack.
- DockerWe containerize applications so development, staging and production run the same image, and we build the pipeline that ships it.
- Google CloudWe build on Google Cloud for teams whose product lives or dies on data, analytics or fast container deployment.
- KubernetesWe build and operate Kubernetes for teams that genuinely need it, and say so plainly when a simpler platform will serve them better.
Data & APIs
- GraphQLWe build GraphQL APIs for products with more than one client shape, and plain REST for everything simpler.
- MongoDBWe build on MongoDB when data is genuinely document-shaped, and say so when it isn't.
- PostgreSQLWe design PostgreSQL schemas that hold up under real transaction volume, not just the demo dataset.
Commerce & CMS
- ShopifyWe build Shopify stores, Shopify Plus checkout customizations and headless storefronts on Hydrogen, matched to what your catalog actually needs.
- WebflowWe design and build in Webflow when visual design fidelity and fast iteration matter more than open-ended backend flexibility.
- WooCommerceWe build WooCommerce stores for merchants who want full control over hosting, checkout and content on top of WordPress.
- WordPressWe build custom WordPress sites that editors can actually run themselves, without a developer for every content change.
Business Platforms
- HubSpotWe build on HubSpot for teams that want marketing, sales and service working from one system without Salesforce-level administrative overhead.
- OdooOne data model spanning inventory, accounting, manufacturing and sales, extended in Python rather than stitched together from separate systems.
- SASalesforceWe build on Salesforce for sales and service organizations complex enough to need it, and warn you before customization outruns what the platform can comfortably support.
AI & Automation
- LangChainLangGraph for the state machine an agent actually needs, LangSmith to see what it did, and a plain function call where a framework adds nothing.
- n8nSelf-hosted or cloud, with queue mode for volume and custom nodes for the one system the built-in connector list does not cover.
- OLOpenAI & LLM APIsWe build directly against the OpenAI API, from tool calling and structured outputs to the data controls and evals a production system needs.
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