A stack selected for the problem, not the trend.
Every tool here is one we run in production and can support afterwards. The list is grouped by the job each one does, because the useful question is which we would reach for and why.
Languages
Chosen for the problem and for the people who will maintain the result, not for novelty.
TypeScriptJavaScript
PythonJava
GoC#PHP
Kotlin
Swift
RustSQLDartFront end
Interfaces that stay fast on a mid-range phone, which is where most of the traffic actually is.
React
Next.js
Vue
AngularSvelteAstroTailwind CSSVite
React Native
FlutterThree.jsGSAPBack end
Services designed to be operated: observable, testable, and boring to deploy.
Node.jsNestJS
FastAPIDjangoSpring Boot.NETLaravel
GraphQL
gRPCRESTTemporalKafkaData
Storage and modelling picked on access patterns, not on which database is fashionable.
PostgreSQLMySQL
MongoDB
RedisElasticsearchSnowflakeBigQueryDatabricksdbt
AirflowSparkDuckDBAI & machine learning
Applied where the data genuinely supports it, with evaluation before launch rather than after.
LangChainLlamaIndex
Hugging Face
PyTorchTensorFlowscikit-learn
pandas
MLflowWeaviateRagasVector searchCloud
Infrastructure defined in code, so an environment can be rebuilt rather than remembered.
AWS
AzureGoogle Cloud
CloudflareVercel
Terraform
Kubernetes
Docker
Linux
NginxArgoCDAnsibleOperations
The tooling that decides whether a problem is noticed by us or reported by a customer.
GitHub Actions
Prometheus
Grafana
Datadog
SentryPagerDuty
Playwright
Jest
CypressVaultSnykTrivyBusiness platforms
Configured around how a business runs, and customised only where that genuinely pays for itself.
Shopifycommercetools
StripePower BI
LookerPower AutomateWhere these are applied
Bring us the problem.
Share the goal, the challenge, or the idea. We will help turn it into a clear digital path.