2025 Agentic Coding Reading List (www.agenticcodingweekly.com)

The recently released "Agentic Coding 2025 Reading List" compiles the year's most insightful community-generated posts about utilizing large language models (LLMs) and coding agents for professional software development. Organized into nine thematic categories, this collection serves as an essential resource for anyone looking to grasp key ideas, debates, and practical workflows in agentic coding. A significant trend highlighted in the reading list is the transition of developers' roles from primarily writing code to predominantly reviewing it, thus raising important questions about productivity, technical debt, and security risks associated with automated coding processes. The curated list features approximately 42 posts addressing practical workflows, case studies, and the evolving responsibilities of developers in the age of AI. It underscores the necessity for developers to maintain their skills in overseeing AI outputs, acknowledging that while AI can improve software development efficiency, it also brings forth challenges like comprehension debt and security vulnerabilities. By providing actionable insights and highlighting must-read articles, this reading list is poised to enhance understanding and foster better software development practices with AI, making it a pivotal resource for the AI/ML community as they navigate these ongoing transformations.