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product#agent📝 BlogAnalyzed: Jan 12, 2026 08:00

Harnessing Claude Code for Specification-Driven Development: A Practical Approach

Published:Jan 12, 2026 07:56
1 min read
Zenn AI

Analysis

This article explores a pragmatic application of AI coding agents, specifically Claude Code, by focusing on specification-driven development. It highlights a critical challenge in AI-assisted coding: maintaining control and ensuring adherence to desired specifications. The provided SQL Query Builder example offers a concrete case study for readers to understand and replicate the approach.
Reference

AIコーディングエージェントで開発を進めていると、「AIが勝手に進めてしまう」「仕様がブレる」といった課題に直面することはありませんか? (When developing with AI coding agents, haven't you encountered challenges such as 'AI proceeding on its own' or 'specifications deviating'?)

product#llm📝 BlogAnalyzed: Jan 11, 2026 20:00

Clauto Develop: A Practical Framework for Claude Code and Specification-Driven Development

Published:Jan 11, 2026 16:40
1 min read
Zenn AI

Analysis

This article introduces a practical framework, Clauto Develop, for using Claude Code in a specification-driven development environment. The framework offers a structured approach to leveraging the power of Claude Code, moving beyond simple experimentation to more systematic implementation for practical projects. The emphasis on a concrete, GitHub-hosted framework signifies a shift towards more accessible and applicable AI development tools.
Reference

"Clauto Develop'という形でまとめ、GitHub(clauto-develop)に公開しました。"

business#sdlc📝 BlogAnalyzed: Jan 10, 2026 08:00

Specification-Driven Development in the AI Era: Why Write Specifications?

Published:Jan 10, 2026 07:02
1 min read
Zenn AI

Analysis

The article explores the relevance of specification-driven development in an era dominated by AI coding agents. It highlights the ongoing need for clear specifications, especially in large, collaborative projects, despite AI's ability to generate code. The article would benefit from concrete examples illustrating the challenges and benefits of this approach with AI assistance.
Reference

「仕様書なんて要らないのでは?」と考えるエンジニアも多いことでしょう。

Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:57

Creating Specification-Driven Templates with Claude Opus 4.5

Published:Dec 27, 2025 12:24
1 min read
Zenn Claude

Analysis

This article describes the process of creating specification-driven templates using Claude Opus 4.5. The author outlines a workflow for developing a team chat system, starting with generating requirements, then designs, and finally tasks. The process involves interactive dialogue with the AI model to refine the specifications. The article provides a practical example of how to leverage the capabilities of Claude Opus 4.5 for software development, emphasizing a structured approach to template creation. The use of commands like `/generate-requirements` suggests an integration with a specific tool or platform.
Reference

The article details a workflow: /generate-requirements, /generate-designs, /generate-tasks, and then implementation.

Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:57

Claude Opus 4.5 and Gemini 3 Flash Used to Build a Specification-Driven Team Chat System

Published:Dec 27, 2025 11:48
1 min read
Zenn Claude

Analysis

This article describes the development of a team chat system using Claude Opus 4.5 and Gemini 3 Flash, addressing challenges encountered in a previous survey system project. The author aimed to overcome issues related to specification-driven development by refining prompts. The project's scope revealed new challenges as the application grew. The article highlights the use of specific AI models and tools, including Antigravity, and provides details on the development timeline. The primary goal was to improve the AI's adherence to documentation and instructions.

Key Takeaways

Reference

The author aimed to overcome issues related to specification-driven development by refining prompts.

Analysis

This article discusses using cc-sdd, a specification-driven development tool, to reduce rework in AI-driven development. The core idea is to solidify specifications before implementation, aligning AI and human understanding. By approving requirements, design, and implementation plans before coding, problems can be identified early and cheaply. The article promises to explain how to use cc-sdd to achieve this, focusing on preventing costly errors caused by miscommunication between developers and AI systems. It highlights the importance of clear specifications in mitigating risks associated with AI-assisted coding.
Reference

"If you've ever experienced 'Oh, this is different' after implementation, resulting in hours of rework...", cc-sdd can significantly reduce rework due to discrepancies in understanding with AI.