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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