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What is Claude Code? A Story of Bringing In-House System Development to Small and Medium-Sized Enterprises with AI

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When discussing AI utilization, many people say they know “ChatGPT,” but recently, Claude Code (Claude Code) has been attracting attention. Developed by Anthropic, this AI is not just a conversational AI; its characteristic is that it can actually write code, design systems, and build operational mechanisms.

Claude Code: An AI that “Acts as a Developer”
If ChatGPT and Gemini are AIs that “return answers,” Claude Code is an AI that “actually builds and runs systems.”
Examples of what it can do:

Development of applications specialized for business operations (e.g., reservation management, inventory management, CRM)
Integration between existing tools (e.g., automatically forwarding inquiry emails to LINE, updating spreadsheets upon form submission)
Development and configuration of business automation tools (e.g., periodic aggregation, automatic reporting, notification systems)
Writing and deploying code for websites and landing pages
Designing, building, and operating databases
Bug fixing and feature additions to existing systems

It can handle various development needs and covers the areas of “system development, maintenance, and operation” that in-house engineers are responsible for.

Role at SPARX
At SPARX, Claude Code is positioned as the core and designer within the AI team.
Specific areas of responsibility:

Design, implementation, and improvement of SNS automation system (inspireXgrowth)
Production and deployment of websites and landing pages
Development of business automation scripts
Design of integration between various AI agents
Bug fixing and system maintenance

“Content-related tasks” such as article generation, image creation, and research are handled by other agents (OpenClaw / Gemini / GPT). Claude Code is strictly a specialist in “building mechanisms.”

“Easy to Use” is a Misconception
Claude Code differs in nature from ChatGPT and Gemini, which can be used with a chat-like interface.
What is needed to master it:

Knowledge of business process design to determine what kind of mechanism to build
How to give instructions (what to request, in what order, and how)
Perspective for verifying output results and checking quality
Operation with an understanding of the overall system design

It requires communication equivalent to that with engineers, unlike ChatGPT where it’s simply “ask a question and it’s done.” This is what is meant by “no specialized knowledge is required, but it takes skill to master.”

What SPARX Covers
That’s why, in SPARX’s AI implementation package:

We design systems tailored to your company’s business operations (designing instructions for Claude Code)
We build and deliver automation mechanisms from scratch
We provide maintenance for issues that arise during operation
We improve and expand designs as needed

We focus on “how your business operations will change” rather than “what can be done with Claude Code.”

▶ Details of AI Implementation Package and Free Consultation Here