Standardized AI-Driven Development: The Optimal Approach for Maximum Efficiency
infrastructure#agent📝 Blog|Analyzed: Feb 20, 2026 07:15•
Published: Feb 20, 2026 07:12
•1 min read
•Qiita AIAnalysis
This article unveils a standardized methodology for AI-Driven Development, providing an 'optimal solution' for maximizing development efficiency and quality. It details the essential steps, from environment setup to configuration file management, ensuring AI agents are effectively integrated into software development pipelines.
Key Takeaways
- •The guide emphasizes the importance of preparing the environment and defining tools like CLI Coding Agents such as Claude Code or Gemini.
- •It recommends a Model Context Protocol (MCP) using context7, serena, and playwright.
- •The article stresses the need for stringent code quality via ESLint and CI/CD with GitHub Actions.
Reference / Citation
View Original"This article introduces the methods standardized in our company's AI-driven development and presents the "optimal solution" to maximize development efficiency and quality."
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