AI-native developer tooling — Claude Code · MCP · design tools
A 7-step path to using AI tools beyond chat — MCP, Skills, Subagents, workflows, and design-side tooling.
- Difficulty
- Beginner
- Lessons
- 7
AI coding tools are not "copy-paste chatbots" anymore. Master context (MCP), automation (Skills/Subagents), and IDE integration — and the tools start running tools.
By the end:
- Understand Claude Code's slash commands, memory, and extension model
- Connect MCP servers, Context7, Figma
- Build workflows with Skills + Subagents + Hooks
- Compare with other AI CLIs / IDEs
- Compare AI design tools (Stitch · v0 · Figma AI)
Flow
How AI tooling expands
Separate repetitive work from judgment and learn the role of conversational development tools.
Use MCP to design permission boundaries for documents, data, and service connections.
Split repeatable procedures and responsibilities into skills and supporting agents.
Connect verifiable automation and visual collaboration tools to real delivery flows.
Steps 1–2 are start, 3–5 extend context (external tools, live docs), 6–7 are the automation and design payoff.
Prerequisite — getting-started + Claude Code (or compatible IDE) installed.
Lessons
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