Learn agentic development

By · Updated

Guides on agentic AI, MCP, coding agents, Claude Code, Cursor, and migration SEO—from the PunkSolid team.

Concepts: What is agentic AI? · AI agents explained · What is MCP?

Tooling: Claude Code vs Cursor · AI coding agents compared · Claude Code tutorial · AGENTS.md guide · Cursor rules guide

Delivery: Spec-driven development · Website migration SEO checklist · Methodology

How to use this library

These guides are written for engineering and marketing leads—not tool hype. Start with concepts if your team is new to agents, then tooling if you are choosing Cursor versus terminal workflows, then delivery when you are scoping a migration or a monorepo. Each page lists sources with checkedOn dates where vendor facts appear; when a vendor changes pricing or features, re-read their official page before you commit.

PunkSolid maintains this section on the parent site; child properties in our network go deeper on trainers, certifications, builders, and agencies. If you need hands-on help after reading, services and contact describe how engagements start.

Most pages are still draft until JJ Horace marks them reviewed. Draft pages may be incomplete; do not treat them as legal or procurement advice.

Pages in this section

AI agents explained

Agents as loops of observe, act, and verify—plus where they fail without engineering discipline.

Guide

AI coding agents compared

How terminal agents, IDE copilots, and review bots differ—selection criteria, not a product scorecard.

Guide

Claude Code tutorial

Start a safe Claude Code session in an existing repo—context, commands, and review habits.

Guide

Claude Code vs Cursor

Compare agentic coding workflows—terminal-first vs IDE-first—without picking a universal winner.

Guide

What is agentic AI?

Agentic AI systems that plan, call tools, and iterate—not single-shot chat replies.

Guide

What is MCP?

Model Context Protocol—standard wiring between AI clients and tools, data, and prompts.

Guide

FAQ

Is this hiring copy?

These pages explain concepts. Engagements start on our services page and contact email.

Do you endorse one AI vendor?

We describe how tools work in production; pick stacks against your constraints.

Plan your build or migration

Send the site, the stack, and the deadline. We reply with questions, risks, and a proposed first step.

Start a project
Start a project