Software Development & Architecture
From architecture to production code, including AI-powered applications built for real workloads.
Good software architecture is mostly about the decisions you don't have to undo later. We help you choose a design that fits your team and your traffic today, and leaves room for what comes next.
We also write the code. That covers APIs, cloud-native services and AI-powered features, built with tests, monitoring and a deployment pipeline from the first week.
What we do
Application architecture & design
Architecture reviews and designs that weigh cost, team size and reliability, written down so the reasoning outlives the meeting.
APIs & microservices
Clear, versioned APIs, and services split only where it helps, so you don't pay for microservices you don't need.
Cloud-native development
Applications built for managed services, serverless and containers, with logging, metrics and alerts in place before launch.
AI application architecture & development
Practical AI features such as search, assistants and document processing, with guardrails, cost controls and evaluation, not just a demo.
Is this for you?
Teams usually call us when one or more of these sounds familiar:
- Every new feature takes longer than the last one.
- One change breaks something unrelated.
- You want to add AI features but don't know where they fit or what they will cost.
- The application works, but nobody wants to touch the code.
What you get
- A documented architecture your team agrees on
- Code with tests and a pipeline from day one
- AI features with clear costs and measurable quality
- Systems that are easier to change, not harder
Frequently asked questions
Do you only advise, or do you build too?
Both. Some clients want an architecture review and a plan; others want us to build the application with them. Many start with the first and continue with the second.
Should we use microservices?
Often not at first. A well-structured single application is cheaper to run and change for most teams. We split out services where scaling, ownership or release speed actually requires it.
How do you keep AI features reliable and affordable?
We test them against real examples before launch, limit what they can do, track cost per request, and keep a fallback for when the model is unsure.
Talk to an engineer about software development & architecture
Tell us what you're working on. You'll hear back from someone who does the work.
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