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Airtable’s core stack is written using JavaScript, augmented with static type checking and other tools. We use Node.js on the backend, and mostly React on the frontend, but our application requirements drive a substantial amount of custom software architecture; that is, Airtable is pretty far from a boilerplate “React + Express” application. Mobile apps are currently native and use JavaScript in webviews where appropriate. Our data infrastructure, which drives our data science and business intelligence efforts, is primarily in Python. We periodically evaluate adding other languages into our codebase for ecosystem or performance reasons; philosophically, we try hard to standardize on a few languages and toolchains so that investments in tooling can be leveraged across larger fractions of our engineering effort. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for logging, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Python, JavaScript, Ruby, Unix, Linux, React.js, Ruby-on-Rails, Ajax, Docker, SQL, Apache, Amazon-web-services, DataDog

Swift, JavaScript, TypeScript, Native iOS, UIKit, Combine, Node.js, Vapor Swift, React, Next.js, Postgres, MongoDB

Javascript, Meteor, Semantic UI, Docker, Kubernetes, MongoDB, AWS

Our clients (Android, iOS, and web) and backend are all built in JavaScript using technologies like React, React Native, Nodejs, and GraphQL.

Full stack Javascript, Typescript, Node, React, Redux, Apollo, GraphQL, Redis, MongoDB, Elasticsearch, AWS (Codepipeline, ECR, ECS, Fargate) and serverless (Lambda, SQS, SNS).