Designing the Next Generation of Software
Architecting enterprise applications that natively incorporate Large Language Models, balancing latency, cost, and reliability.
Why LLM Application Architecture Matters
Adding an LLM to an existing app is easy; architecting an app where the LLM is the core reasoning engine requires entirely new design patterns.
| Market Signal | Impact Detail |
|---|---|
| Employer Demand | The defining architectural skill for the next decade of software development. |
How We Use It
We design asynchronous workflows, optimistic UI updates, and streaming architectures to mask LLM latency and provide simple user experiences.
Real World Example
We designed the architecture for an AI-first legal drafting platform, using streaming responses and background processing to make a 30-second AI generation task feel instantaneous to the user.
The Slickrock Advantage
"We pioneer new UI/UX patterns (like generative UI) specifically designed for the era of AI."
Deploy an Elite AI Engineering Team
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Frequently Asked Questions
Why is latency such an issue with LLMs?
LLMs generate text token by token. Unlike a database query that returns all at once, an LLM takes seconds to 'type' out its response.