Conference Agenda March 2026

Complete schedule for Into Design Systems Conference 2026. March 19-20 online. 14+ sessions on AI Design Systems, Vibe Coding, MCP integrations. Speakers from WhatsApp, Miro, Indeed, Adobe, GitHub, Figma.

Day 1 - March 19, 2026

Day 2 - March 20, 2026

Encoding governance on agentic design systems

Design systems codify decisions and contracts, but they've always depended on human governance to stay honest. Documentation drifts from implementation. Tokens diverge from code. The "source of truth" depends on who you ask.

The fix isn't more process. It's choosing the source of truth that can't lie: code.

This session introduces a layered architecture for agentic design systems, where AI agents don't just consume components the way developers do, but actively enforce the contracts your system already defines. The architecture separates concerns across three primitives: skills (reusable executable capabilities), rules (project-specific constraints and decisions), and instructions (the methodology that orchestrates both).

The result: governance becomes an automated output, not an expensive special project. Weekly audits at cents per report. Drift detection without dedicated headcount. Design decisions that are explicit in the system rules and enforced by the agents that read them.

This isn't a better-indexed component library. It's a design system that governs itself.

Key Learnings

Who is this for

This session is for design system maintainers, design engineers, and front-end developers who care about component architecture and are frustrated with governance being a manual, expensive process. If you've felt the pain of documentation drifting from implementation, tokens diverging from code, and "source of truth" meaning something different to every team member, this talk offers a structural answer. You don't need AI experience, but you should care about systems, contracts, and how design decisions survive contact with a real codebase.

Speaker

Cristian Morales Achiardi, Design Engineer at Enara Health. Exploring how AI reshapes design systems, design to code workflows, and trust between humans and machines. Currently creating pipelines that make design data machine-readable and ready for AI agents.

Tags: AI, Design Systems

AI
Design Systems

Encoding governance on agentic design systems

Live
30 MIN + Q&A

About this Session

Design systems codify decisions and contracts, but they've always depended on human governance to stay honest. Documentation drifts from implementation. Tokens diverge from code. The "source of truth" depends on who you ask.

The fix isn't more process. It's choosing the source of truth that can't lie: code.

This session introduces a layered architecture for agentic design systems, where AI agents don't just consume components the way developers do, but actively enforce the contracts your system already defines. The architecture separates concerns across three primitives: skills (reusable executable capabilities), rules (project-specific constraints and decisions), and instructions (the methodology that orchestrates both).

The result: governance becomes an automated output, not an expensive special project. Weekly audits at cents per report. Drift detection without dedicated headcount. Design decisions that are explicit in the system rules and enforced by the agents that read them.

This isn't a better-indexed component library. It's a design system that governs itself.

From my session, you will learn:

  • •The three structural layers of an agentic design system: tokenization, indexing, and strategies, with live code examples of the skills and artifacts each layer produces
  • •How structured component metadata enables agents to select, compose, and enforce design decisions without human interpretation
  • •Why indexing and relationship mapping are the missing infrastructure that turns a component library into an agent-ready system
  • •What governance looks like as an automated output: on-demand audit reports, generated dashboards, and documentation sites built from the system itself

Who is this for?

This session is for design system maintainers, design engineers, and front-end developers who care about component architecture and are frustrated with governance being a manual, expensive process. If you've felt the pain of documentation drifting from implementation, tokens diverging from code, and "source of truth" meaning something different to every team member, this talk offers a structural answer. You don't need AI experience, but you should care about systems, contracts, and how design decisions survive contact with a real codebase.

Presented by:

Cristian Morales Achiardi, Design Engineer at Enara Health, speaker at Into Design Systems Conference

Cristian Morales Achiardi

he/him

Design Engineer

Enara Health

Exploring how AI reshapes design systems, design to code workflows, and trust between humans and machines. Currently creating pipelines that make design data machine-readable and ready for AI agents.

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120 minutes total of on-demand AI sessions (multiple sessions combined) pre-recorded during our events. Available instantly to all conference ticket holders. Access immediately after purchase.

Spotify MCP

How their Design System team built their MCP

Cursor Prompting

Best practices so AI generates the design you expect

Context-based DS

How to work with helpful plugins and workflows

Encoding governance on agentic design systems | Conference 2026