Why we build serverless
Most software is written to a requirements list and paid for twice — once to build, again to run. Here's how we engineer products that cost less to build and less to maintain.
Most software projects start the same way: a client shares a list of requirements, and a team writes code to match it, feature by feature. It works — but it's often costlier to build and costlier to maintain than it needs to be.
We take a different route.
Understand the problem, not just the list
A requirements list describes what someone thinks they need. Before we write production code, we dig into the problem behind it — the users, the constraints and what the business is really trying to achieve. That conversation regularly changes what gets built, and usually makes it smaller.
Architect before we code
Once the problem is clear, we design the engineering solution: the data model, the services, the integrations and how the system will scale. Getting this right on paper is far cheaper than discovering it in production.
Serverless by default
We then build on serverless architecture — AWS Lambda, API Gateway, DynamoDB and S3, with NestJS and Next.js on top. The benefits are practical:
- Pay for use, not for idle servers. Costs follow real traffic.
- Automatic scaling. Spikes are handled without re-architecting.
- Maintenance-friendly. There are no servers to patch, upgrade or babysit.
Proof: Classory
Our own AI-powered LMS, Classory, is built exactly this way — a multi-tenant SaaS where every academy runs on its own brand and domain, engineered serverless to handle 2M+ concurrent users.
If you're planning a product and want it to be cheaper to run long after launch, let's talk.
