Poggers OyAI-assisted delivery across every service
We use either Anthropic or OpenAI models across all services to support design, implementation, testing, review, and documentation. The model and the handling of client materials are agreed according to the project. A senior developer reviews the outputs, makes the technical decisions, and remains accountable for the result.
We design and build cloud architectures on AWS the serverless way, defined as infrastructure-as-code (e.g. SST) — not a console someone clicked through that nobody remembers a year later. The goal is a system that costs next to nothing when it’s sitting idle and scales up cleanly as load grows, without needing to be re-architected along the way.
This is a particularly good fit for products with uneven usage, or ones still finding their shape — there’s no reason to pay for standing capacity you don’t need yet.
What can the delivery include?
- a review of the current architecture and cost structure
- AWS service and data-model design based on the use case
- serverless back-end services, authentication and file storage
- infrastructure as code, separate environments and automated deployment
- logging, monitoring, backups and a clear baseline permission model
- documentation that makes the environment understandable and repeatable
The goal is not to use as many cloud services as possible. It is to choose a small, understandable system whose cost and operational burden fit the product’s current stage.
Who is serverless a good fit for?
Serverless often works well for a new SaaS product, API, internal tool or a system with seasonal traffic. If the load is consistently high, the workload has unusual performance constraints, or the current environment already works well on another model, we will say so — architecture should fit the situation, not a technology preference.
The choice is not always binary. A front end can be delivered through a CDN, ordinary API requests handled by functions, and a long background task run in a container. Our guide Serverless or an always-on server? provides a practical decision test for workload, latency, cost, and operations.
A new environment or a controlled modernisation
We can build the cloud foundation for a new product or review an existing AWS environment before changes are made. The work starts from requirements, security and cost boundaries. The environment is then implemented repeatably and taken to production through an agreed rollout plan.