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What is Claude Code? A Story of In-house System Development for Small and Medium-sized Enterprises with AI

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When AI utilization is discussed, many people say, “I know ChatGPT,” but recently, Claude Code has been attracting attention. Developed by Anthropic, this AI is not just a conversational AI; it’s characterized by its ability to actually write code, design systems, and create business workflows.

**Claude Code: An AI that Acts as a Developer**
While 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 business-specific applications (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., regular summarization, automatic reporting, notification systems)
* Writing and deploying code for websites and landing pages
* Database design, construction, and operation
* Bug fixing and feature additions to existing systems

It addresses various development needs and covers the “system development, maintenance, and operation” domains handled by in-house engineers.

**Role at SPARX**
At SPARX, we position Claude Code as the core designer within our AI team.
Specific areas of responsibility:

* Design, implementation, and improvement of the SNS automation system (inspireXgrowth)
* Production and deployment of websites and landing pages
* Development of business automation scripts
* Design of collaboration between different 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 “creating mechanisms.”

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

* Knowledge of business design to determine what kind of system to build
* How to issue instructions (what to request, in what order, and how)
* A perspective for verifying output and checking quality
* Operation with an understanding of the overall system design

Unlike ChatGPT, where you “ask a question and it’s done,” it requires communication on par with engineers. This is what is meant by “no specialized knowledge is required, but skill is needed to master it.”

**What SPARX Covers**
This is precisely why, in SPARX’s AI implementation packages:

* 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 to address issues that arise during operation.
* We improve and expand the design as needed.

Our focus is not on “what can be done with Claude Code,” but on “how your business operations will change” through our design.

▶ Details of AI Implementation Package and Free Consultation here