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
- AngularAn opinionated framework for applications that need to outlive the team that began them.
- Next.jsOne framework for the marketing site, the app and the API behind it, all deployed together.
- ReactComponent-based interfaces built so that whoever works on the codebase next can extend them.
- TypeScriptTypes shared across frontend and backend so contract mismatches show up at build time, well before production.
- Vue.jsTemplate-based components that stay readable once a team grows beyond the original developers.
Backend
- DjangoA batteries-included framework that arrives with an admin panel and an auth system we do not have to build.
- .NETA statically typed platform with long-term support, suited to backends that must keep running correctly for a decade.
- FastAPIAn async-first API framework in which request validation and documentation both come from the same type definitions.
- Go (Golang)A deliberately small language for services that need speed, concurrency and easy operation.
- Java & Spring BootA deliberately verbose language that keeps a system readable for the next team after the first one moves on.
- LaravelA PHP framework whose structure keeps code maintainable and whose conventions keep delivery fast.
- Node.jsA single language across frontend and backend, with an event loop designed for high-concurrency I/O.
- PythonThe language we pick when a backend must work with data, models and a dozen other systems at once.
- Ruby on RailsConvention over configuration, which settles the minor decisions on your behalf.
Mobile
- FlutterA single Dart codebase drawn by Flutter's own engine, giving an interface that looks the same on iOS and Android.
- Kotlin (Android)Native Android in Kotlin, with Jetpack Compose for the interface and coroutines for everything that waits on the network.
- RNReact NativeNative platform components driven from a React codebase your web team can already read.
- Swift (iOS)Direct access to Apple's frameworks, for products where the iOS experience cannot be approximated.
Cloud & Infrastructure
- AWSAWSProducts built and operated on AWS, whether the scope is one Lambda function or a multi-account environment running dozens of services.
- MAMicrosoft AzureAzure development for organizations that have already standardized on Microsoft identity and productivity tools.
- DockerContainerized applications that run the same image in development, staging and production, plus the pipeline that delivers it.
- Google CloudWe build on Google Cloud for teams whose product depends on data, analytics or fast container deployment.
- KubernetesWe build and operate Kubernetes for teams that truly need it, and tell you plainly when a simpler platform would serve them better.
Data & APIs
- GraphQLWe build GraphQL APIs for products serving more than one client shape, and plain REST for anything simpler.
- MongoDBWe build on MongoDB when the data is truly document-shaped, and tell you when it is not.
- PostgreSQLWe design PostgreSQL schemas that hold up under real transaction volume as well as the demo dataset.
Commerce & CMS
- ShopifyShopify stores, Shopify Plus checkout customizations and Hydrogen headless storefronts, chosen to fit what your catalog really requires.
- WebflowWe design and build in Webflow when visual design fidelity and fast iteration outweigh open-ended backend flexibility.
- WooCommerceWooCommerce stores on WordPress for merchants who want full control of hosting, checkout and content.
- WordPressWe build custom WordPress sites that editors can run on their own, with no developer needed for every content change.
Business Platforms
- HubSpotWe build on HubSpot for teams that want marketing, sales and service on one system without the administrative overhead of Salesforce.
- OdooOne data model spanning inventory, accounting, manufacturing and sales, extended in Python instead of stitched together from separate systems.
- SASalesforceSalesforce development for sales and service organizations complex enough to need it, with a warning from us before customization exceeds what the platform supports comfortably.
AI & Automation
- LangChainLangGraph when an agent needs a real state machine, LangSmith to inspect what it did, and a plain function call wherever the framework adds nothing.
- n8nSelf-hosted or cloud, with queue mode for volume and custom nodes for the one system the built-in connector list leaves out.
- OLOpenAI & LLM APIsWe build directly against the OpenAI API, covering tool calling and structured outputs as well as the data controls and evals a production system needs.
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