How to Manage Context Files in Your Codebase and Get Better Output From AI Coding Agents
You ask a coding agent for a new endpoint, and ninety seconds later you have a working endpoint. Then you read the diff, and you find that it pulled in a validation library that’s not in your package. Fuente: Artículo original
How to Scale LLM Inference for AI Agents Using vLLM
In this tutorial, I’ll show you how to scale LLM inference for AI agents using vLLM. I’ll help you build an intuition for how LLM inference works, explore why agent workloads create GPU scheduling and Fuente: Artículo original
How to Work with Subqueries in SQL
Whenever you see a query nested inside another query in SQL, that’s a subquery. A subquery is also known as an inner query while the one that contains it is called the main or outer query. Subqueries Fuente: Artículo original
Why Your Wearable Needs Weeks of Data Before It Becomes Useful
I can recall the time when I first put on the Oura Ring and checked my readiness score the next morning as if I were checking an exam score. I saw something like 62 and I really started to panic. Was Fuente: Artículo original
How to Build a Multi-Agent Trading Research System with LangChain Deep Agents [Full Handbook]
A trading research agent can write strategy code, run a backtest, inspect the results, and keep revising the strategy. The harder problem is making sure that this loop doesn’t turn into an uncontrolle Fuente: Artículo original
How to Build a Basic Discord Storytelling, Chat, and Mental Wellness Bot with Python
Discord bots can look surprisingly complicated when you see them in action. A bot can respond to messages, tell stories, remember parts of conversations, and stay online around the clock. When I first Fuente: Artículo original
How to Create a Scalable KYC Onboarding Flow in React with Shadcn UI
Every B2B SaaS product with a compliance requirement (like banking, lending, payroll, or crypto) hits the same wall early on: before you can let a business use your platform, you need to verify who th Fuente: Artículo original
How to Build Production-Grade Agents with Pydantic AI
Building AI agents with raw LLM SDKs works fine for prototypes until you need structured outputs, testable code, and production reliability. The gap shows up in a predictable way. Your notebook code w Fuente: Artículo original
How to Modernize a Legacy Application with AI Without Turning It Into a Rewrite
I have seen legacy migrations considered successful because the old framework disappeared from the repository. Six months later, the team was still dealing with the same coupling, the same unclear bus Fuente: Artículo original
Product Experimentation with Doubly Robust Estimation: When Both Your Models Are Wrong in LLM Applications
Your AI product shipped an agent-mode opt-in six months ago. You ran a propensity analysis, adjusted for engagement tier and query confidence, and reported a clean +8 percentage-point lift in task com Fuente: Artículo original