@taosunvillanueva
Exploring AI as a Software Engineer
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Dec 6, 2025 路 5 min read 路 The foundation of any successful research project is a well-defined brief. In our Deep Research with LangGraph project, the very first agent is dedicated to this critical task: transforming a user's initial, sometimes vague, request into a clear, act...
Join discussionNov 12, 2025 路 6 min read 路 Building a truly intelligent assistant requires long-term memory, the ability to not just recall the last message, but to understand and update structured information about the user, their tasks, and preferences. This article shows how to create a ro...
Join discussionNov 6, 2025 路 5 min read 路 The magic of a truly helpful AI assistant isn't just in its ability to generate text鈥攊t's in its memory. A stateless LLM forgets everything between turns, making every conversation start from zero. But imagine an assistant that remembers your name, y...
Join discussionNov 5, 2025 路 7 min read 路 馃専 Introduction: The Power of Graph-Based LLM Workflows The complexity of modern LLM applications often requires coordination between multiple steps, tools, and agents. While LangChain provides the building blocks, LangGraph offers the state-manageme...
Join discussionOct 29, 2025 路 5 min read 路 Building a single, powerful LLM prompt is great, but building a system that coordinates multiple LLM calls in parallel is how you create scalable, production-ready AI agents. This article dives into one of the most essential design patterns in distri...
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