Plus X's First Tech Seminar

AI summary focused on the core points of the original article.

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1. Background and purpose of the seminar

Responding to changes in the AI landscape: Sharing company-wide how a design agency should respond to the rising influence of generative AI models and vibe coding, which are blurring traditional role boundaries.
Expanding creative execution: Defining technology not as the opposite of designers, but as a production tool that helps ideas run in practice and validates a wider range of experiments.

2. Key sessions and core takeaways

Changes in consulting methods and creative work
- Moving beyond simply delivering ideas as screens or documents, the ability to present and persuade through fully working service experiences is emerging as a core competitive edge.
The need for Development Literacy
- Development literacy—understanding the basic structure and infrastructure of services such as Vercel, Supabase, backend APIs, security, and deployment environments—is defined as an organizational capability that supports creative execution.
The 7 principles of vibe coding & starter kit
To reduce directional drift and variation in output when using AI, the team created and shared a 7-principle vibe coding guide and starter kit.
The process was systemized so requirements (PRDs) can be refined through conversation and work context can be documented and carried forward.
First reveal of internal services and the developer platform
- Internal production services: Quote-writing tool Quotation, news curation tool The News Curator, posture-correction app JJUUK, and more.
PlusX Station: An internal app store that collects and shares web/app outputs built with vibe coding as company assets.
PlusX Developers: An internal developer platform (PaaS) that makes it easy to provision and manage company infrastructure such as servers, databases, and SSO so teams can focus on building.

3. Conclusion and message

"Tools may be commoditized, but judgment is not."

The article emphasizes that in an era where anyone can build things easily with AI, the real strength of consulting lies in the ability to define and persuade: why this design, and what problem it solves.

XPLORED View

This piece shows how design consulting is being reshaped into an execution-driven organization by combining AI and development literacy.

Good timing to read this
- When a design team wants to expand AI adoption from individual experiments to team-wide operating practices
- When you need to explain the gap between prototypes and real services
What to take away
- The moat is not tool fluency, but judgment, operating standards, and shared platforms

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