Building Your First Autonomous Coding Agent: A Practical Guide
A step-by-step look at what actually goes into an agent that can plan, write, run and fix its own code — and the guardrails that keep it from going rogue.
AI and agentic AI explained in plain English, plus the tools and terms worth knowing.
7 articles
A step-by-step look at what actually goes into an agent that can plan, write, run and fix its own code — and the guardrails that keep it from going rogue.
Context windows went from 4K tokens to over a million in a few years. Here’s what the number really controls, and where more isn’t always better.
Not every chatbot with a tool is an agent. We break down the loop of planning, acting and observing that separates true agents from scripted automations.
Two ways to make a model “know” your data, with very different costs and failure modes. A framework for deciding which one your feature actually needs.
Temperature, guardrails, few-shot, hallucination and MCP — quick, precise definitions for the words getting thrown around in every planning meeting.
No sponsored placements, just the editors, CLIs and debuggers our own engineering team installs first on a fresh machine.
You don’t always need a frontier model. A look at when a small, local model beats a large API call on latency, cost and privacy.
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