asaasinStack
What we build on, and why.
74 technologies across models, product, data and infrastructure. Hover any mark to read the specific reason it is on this list.
How we pick.
A pod is measured on what goes live, so the stack is optimised for the second year of a codebase rather than the first week. That means boring defaults where boring works — one relational database, typed contracts at every boundary, migrations under review — and the newest tool only where it earns its place against the one it replaces.
Nothing here is a house standard we impose. Where you already run Azure, Prisma or Kubernetes, we work inside that. Where there is no constraint, we reach for the list below because we can hand it to another engineer without a translation layer. Models especially are chosen per task — we are not a reseller for any one lab.
What you own.
You own the code, the data and the infrastructure account it runs in. No part of this stack is licensed through us, and none of it locks the product to our involvement. If you take delivery in-house, the repository, the migrations and the deployment pipeline go with you.
Models
We are not tied to one vendor. The model is chosen per task on cost, latency and how well it holds an instruction.
Hover or focus a mark to read why it is in our models layer.
AI engineering
The tooling around the model — agents, retrieval, serving and experiment tracking.
Hover or focus a mark to read why it is in our ai engineering layer.
Frontend
What your users actually touch, built on the frameworks with the deepest hiring pool and the longest support runway.
Hover or focus a mark to read why it is in our frontend layer.
Backend
Typed services, durable background work, and runtimes picked for the shape of the workload.
Hover or focus a mark to read why it is in our backend layer.
Data
Relational by default, with an analytical or vector store added only when the query pattern demands it.
Hover or focus a mark to read why it is in our data layer.
Infrastructure
Where it runs, decided by your compliance posture rather than our preference — including inside your own cloud account.
Hover or focus a mark to read why it is in our infrastructure layer.
Observability
You cannot operate what you cannot see, so instrumentation ships with the feature and not after it.
Hover or focus a mark to read why it is in our observability layer.
Quality
The checks that have to pass before a branch is allowed near production.
Hover or focus a mark to read why it is in our quality layer.
All product names and trademarks are the property of their respective owners. Their appearance here describes the technologies we use and does not imply any partnership, sponsorship or endorsement.
Get in touch.
Thirty minutes to map your problem to a plan and a timeline. You will leave the call with scope, price, and a start date.