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How We Work
Answers to the questions we get asked most. If yours isn't here, just drop us a message.
AI systems, SaaS, internal tooling, mobile apps, e-commerce, and SEO-driven sites are all in scope. We're at our best when the work needs solid engineering, clear priorities, and outcomes you can measure.
Same idea as the subscription path in our brief builder: you queue requests on a shared board (Linear, Notion, or similar). We take the highest-priority item, ship it, fold in your feedback, then move on. It's a steady, asynchronous rhythm for teams who always have more to build than time to build it.
There's no one answer. Timelines swing widely with scope, how crisp the requirements are, and what you already have in place. A tight, well-defined slice can move very quickly; bigger or fuzzier work takes longer. We run in short cycles, keep the plan visible, and after discovery you'll have a realistic timeline before we commit to production work.
We pick tools for the problem, not because they're fashionable. There's no default stack, and we're not limited to a fixed menu: if something else is the better fit, we'll use it. That range comes from many years of shipping across web, APIs, data, mobile, internal systems, and AI, so a new tool or framework is rarely a cold start for us. When something truly is outside our wheelhouse, we say so and either ramp properly or bring in a specialist. In practice we often work with Next.js, React, Node.js, Python, TypeScript, PostgreSQL, and current AI APIs and frameworks, including vector stores and retrieval when the product genuinely needs them. If you already run something in production, we work inside it.
Yes. Onboarding includes a structured audit so we know what we're inheriting. When the foundation is sound, we extend it. When it isn't, we'll be direct about whether a rewrite is the smarter path and what that would involve. If a rewrite isn't realistic (budget, risk, or deadlines), we can still improve what you have with careful, non-breaking patches and extensions. That usually needs more care than the same work on a new project where we aren't fitting into existing code, but it's often far less time and risk than replacing the whole system from scratch. We don't default to a full rewrite just to work in a preferred language or stack.