Do you only build in TypeScript?

No. TypeScript is our most common choice because it lets one team work across frontend and backend. We use Go for performance-sensitive services and Python where its libraries give a clear advantage. We pick per project, and we say why.

Will we be locked into your choice of tools?

No. We favor open-source, widely used tools and write the code in your repository, with documentation. Another competent team should be able to pick it up without us. Hosting, domain and provider accounts are all in your name, so you can change vendors whenever you choose, and nobody can switch anything off.

Should we use microservices and Kubernetes from day one?

Usually not. A single well-structured application on a managed platform is simpler to build, test and pay for. We split services out when there is a concrete reason, and we use Kubernetes only when the load or team size makes it worthwhile.

Do you build AI features?

We integrate language-model and machine-learning APIs into products, typically from Python or TypeScript services, with logging and fallbacks. We do not promise a particular accuracy, because it depends on the model, the data and the use case. Model providers also change prices and terms, so we keep the integration behind a thin layer you can swap.

Can you work with a stack our in-house team prefers?

Yes, within reason. If we have the experience we will say so and proceed. If we do not, we will tell you rather than learn on your budget. Share your preferred tools in your first message and we will answer honestly.

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Empty studio desk by a window with a laptop, notebook, pencil and coffee mug

Tech stack

The software development tech stack we build with

TypeScript, Go and Python on PostgreSQL and Redis, deployed to the cloud. We choose tools for your project, not for our own preference.

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TypeScript, Go and Python
PostgreSQL, Redis and cloud-native hosting
Chosen to fit your team and budget

How do we choose a tech stack?

We start with questions rather than tools: who will maintain this after launch, what do you already run, how many users do you expect, what must be fast, and what must be correct above all else. The answers decide the stack.

Our default is boring and widely understood technology, because it is easier to hire for and cheaper to maintain. We recommend something unusual only when the problem needs it, and we explain the trade-off in writing before you commit.

Which languages and frameworks do we use?

These are the tools we use most often, grouped by job.

Frontend and mobile

TypeScript with React and Next.js for web apps, dashboards and marketing sites.
React Native or Flutter when one codebase for iOS and Android is the right trade.

Backend

Node.js with NestJS or Express when the team is sharing TypeScript across frontend and backend.
Go for services that need high concurrency or low overhead.
Python with Django or FastAPI for data-heavy work, automation and AI integrations.

Blockchain

Solidity for Ethereum-compatible chains and Rust for Solana, with the client's chain choice leading.

What about databases, hosting and operations?

PostgreSQL is our default database because it handles relational data, JSON and row-level security well. Redis covers caching, queues and rate limiting. We add search or analytics stores only when a feature needs them.

Applications run in containers on AWS, Google Cloud or a simpler host that suits your size. We use Docker, infrastructure written as code, automated CI pipelines, error monitoring and backups, and we use Kubernetes only when the scale or the team justifies the extra moving parts.

The accounts for hosting, domains and monitoring are created in your name so you keep control. Related pages: SaaS and cloud applications, crypto and Web3 engineering and API development.

Yes. If your team already runs Laravel, Ruby on Rails, Java or .NET, tell us. Sticking to a stack your people know is often wiser than switching for fashion. If the codebase is old, a staged modernization may be a better start than a rewrite.

Telegram work usually means TypeScript or Python for bots and TypeScript with React for Mini Apps. See Telegram and bots for details.

What are the limits of any tech stack?

No stack is the right answer for every project, and no tool removes the need for good design, tests and review. Frameworks and platforms change, third-party services get deprecated and cloud providers change terms. We pick maintained, well-documented tools to lower that risk, not to remove it.

Performance, uptime and security depend on how the system is built and run, not on the logo of the language. We discuss realistic targets with you during scoping.

Fixed-scope sprints
Dedicated pods
Four practice areas
Client owns the code

How it works

1

Message us on WhatsApp or Telegram

Describe the product, the users and your timeline.

2

We scope and quote

You get a plan, an architecture outline and a written price range.

3

We build in sprints

You see working software each sprint and launch with a tested release.

Questions about custom software builders in United States

Do you only build in TypeScript?: No. TypeScript is our most common choice because it lets one team work across frontend and backend. We use Go for performance-sensitive services and Python where its libraries give a clear advantage. We pick per project, and we say why.
Will we be locked into your choice of tools?: No. We favor open-source, widely used tools and write the code in your repository, with documentation. Another competent team should be able to pick it up without us. Hosting, domain and provider accounts are all in your name, so you can change vendors whenever you choose, and nobody can switch anything off.
Should we use microservices and Kubernetes from day one?: Usually not. A single well-structured application on a managed platform is simpler to build, test and pay for. We split services out when there is a concrete reason, and we use Kubernetes only when the load or team size makes it worthwhile.
Do you build AI features?: We integrate language-model and machine-learning APIs into products, typically from Python or TypeScript services, with logging and fallbacks. We do not promise a particular accuracy, because it depends on the model, the data and the use case. Model providers also change prices and terms, so we keep the integration behind a thin layer you can swap.
Can you work with a stack our in-house team prefers?: Yes, within reason. If we have the experience we will say so and proceed. If we do not, we will tell you rather than learn on your budget. Share your preferred tools in your first message and we will answer honestly.

Ready to scope your software project?

Message us on WhatsApp or Telegram with the product, the users and your timeline.

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