TLDR: We aren’t.
We’ve gotten this question a lot since we started explicitly hiring LangChain developers. It’s a fair ask, and the answer goes deeper than just picking a trendy framework.
At Focused, we’re developers first. We’ve built systems in Spring, Kotlin, Scala, Ruby, TypeScript, Python, and plenty more. Across every language and framework, we form strong opinions on two things:
- The best stack for the job
- The right way to build with it
Agentic systems and applied AI are no different.
We’ve developed clear, practical, and opinionated approaches to deploying agents that are resilient, observable, enterprise-ready, and most of all, valuable.
So, why LangChain?
LangChain is developer-first, and that matters. At the bleeding edge, choosing the right abstraction is everything. With agentic systems, it’s not just about wrapping LLM APIs. It’s about cleanly decoupling agent logic from business logic, and LangChain is intentionally designed that way.
That architectural clarity is what allows teams to scale and evolve without building brittle systems.
Beyond its structure, LangChain is also the most widely adopted abstraction for agentic systems today. And that matters too. When we pick frameworks, we aren’t just picking for ourselves. We’re making decisions for the future developers who will inherit our code. That’s why we lean toward tools that are well-supported, actively open source, and well-funded.
Hiring for LangChain expertise doesn’t mean we’re locked in. It means we care deeply about doing this right.
A great developer isn’t defined by a single tool, just like a great carpenter isn’t defined by a single saw. It’s about mastery of the craft. Understanding the materials, knowing when to go deep and when to zoom out.
With agentic systems, that depth matters even more because the patterns are still forming.
By focusing on LangChain, we give our team the opportunity to build true mastery, not just of the technology itself, but of the surrounding techniques, evaluation practices, and operational strategies needed to actually ship agents into production.
We're not locked in. We're choosing with intent.
And that’s how we build.
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