What Are AI Agents? A Complete Guide
An AI agent is a language model placed inside a loop with tools and a stopping rule. How that loop works, where it breaks, and when not to build one.
A. Rahman10 min read
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Every Tech Agents article tagged LLM — 5 pieces across AI Agents, AI Development and AI Tools, newest first.
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An AI agent is a language model placed inside a loop with tools and a stopping rule. How that loop works, where it breaks, and when not to build one.
RAG solves a knowledge problem; agents solve an action problem. Where each architecture belongs, how they combine, and why their failure modes barely overlap.
A criteria-first assessment of AI coding tools by category — completion, repo chat, agentic editors and review bots — with a harness for testing them yourself.
A comparison of what actually differs between the two API surfaces — system prompts, tool schemas, structured output, state and streaming — and how to choose.
Agentic systems are limited less by model capability than by compounding reliability, context economics, machine identity and interoperability. What each gates.
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