Claude Code for Designers

Why the gap between design intent and shipped product exists, what it costs in handoff loss, and why a coding agent — not another plugin — is the realistic bridge for designers.

• Describe where design intent is lost between mockup and production.
• Explain what Claude Code is and how it differs from chat assistants and design plugins.
• Identify which of your current tasks sit on the design-code gap.

The three ways into Claude Code — Desktop, the VS Code extension, and the CLI — what permission modes actually control, and a setup path that starts safe and earns trust before granting more access.

• Choose between Desktop, VS Code, and CLI entry points for your own working style.
• Explain what each permission mode allows and start in the most conservative one that works.
• Run a first safe session: read-only exploration of a real project.
• Know which plan and pricing tier fits an individual designer versus a team.

The core skill: giving the agent a mockup, a screenshot, or a reference and getting back working front-end code that respects the design — plus the review habits that catch where it does not.

• Brief a mockup-to-code task with constraints, components, and review criteria.
• Use screenshots and references as inputs without expecting pixel telepathy.
• Review generated code visually and structurally, even without writing code yourself.
• Run a parity check between the mockup and the implementation.

Moving from single sections to working prototypes: multi-screen flows, realistic data, interaction states, and the discipline of keeping prototypes honest about what they are.

• Plan a prototype as a set of bounded agent runs rather than one giant prompt.
• Get realistic states and data shapes into prototypes without hand-faking everything.
• Decide what is prototype-quality and what would need production hardening.
• Share prototypes for review without implying they are shippable.

Using the agent on the system itself: building and documenting components, enforcing tokens, finding drift, and handling the long tail of system maintenance that teams never staff.

• Brief component work against an existing system rather than from scratch.
• Generate and maintain component documentation as part of the same run.
• Run audits that find token violations and component drift with evidence.
• Set review gates so system changes stay deliberate.

Turning one-off wins into repeatable runs: skills for recurring procedures, scheduled audits, asset production, and the maintenance work that keeps a design codebase healthy.

• Identify recurring design chores worth automating and the ones that are not.
• Write a SKILL.md that encodes a procedure the agent can repeat reliably.
• Set up recurring audits and reports that surface drift before it compounds.
• Keep automated runs reviewable instead of silently trusted.

Connecting Claude Code to the rest of the toolchain over MCP — canvases, browsers, tickets, analytics — and making the whole approach work for a team rather than one enthusiastic designer.

• Explain what MCP is and evaluate which servers a design team actually needs.
• Connect at least one design tool to Claude Code and use it inside a run.
• Set up shared harness files and conventions so the team gets consistent results.
• Put governance around access, cost, and review without strangling adoption.