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Articles tagged with #aiagents
TL;DR: Effectively directing AI agents isn't about memorizing magic prompt templates; it is about applying engineering management skills. LLMs behave like enthusiastic junior developers who confidentl
TL;DR: AI agents can write incredible code, but they can also write absolute garbage. Because there is no industry standard yet for managing agent skills or running evaluations (evals), developers mus
Quick Answer: No, AI agents won't replace software engineers, but they are flipping the table on how we work. While agents excel at writing generic, path-of-least-resistance code, they lack opinion. H
TL;DR: An LLM is a stateless, request-response engine that processes inputs to generate outputs. An AI agent wraps this model in an execution loop and equips it with tools, allowing the model to make
Quick Answer: Elite software teams treat documentation as a first-class citizen. API specs and inline comments are just as vital as the code itself. Without explaining the "why" and "how," I've seen t
Quick Answer: When building multi-agent AI systems, assigning human personas with broad responsibilities is a trap. Instead, apply the single-responsibility principle. By breaking complex tasks down i
