Source URL: https://arstechnica.com/ai/2025/01/how-i-program-with-llms/
Source: Hacker News
Title: I Program with LLMs
Feedly Summary: Comments
AI Summary and Description: Yes
Summary: The text discusses the author’s personal experiences and insights from using generative AI models, specifically large language models (LLMs), in programming. It emphasizes the productivity benefits derived from LLMs and introduces a tool in development for enhancing programming efficiency in Go language.
Detailed Description: The article explores the transformative impact of LLMs on the author’s programming practices, showcasing a blend of personal anecdotes and a forward-looking approach to technology adoption.
– **Personal Experience with LLMs**: The author shares a year-long journey of actively integrating generative models into their programming workflow, highlighting a proactive approach to understanding and utilizing these technologies.
– **Productivity Gains**: They reflect on how LLMs have positively influenced their productivity, finding it challenging to revert to programming without AI assistance.
– **Automation Opportunities**: Throughout the process, the author has identified repetitive tasks that could be automated, leading to the collaborative development of a tool called sketch.dev, aimed at enhancing the programming experience specifically for Go.
– **Technological Shift Comparison**: The author draws an analogy between the current experience of using LLMs and a past significant event of establishing a personal LAN and accessing the Internet in 1995, expressing a sense of profound technological advancement and its implications for the future.
– **Future Collaboration**: The mention of a collaborative effort to build a tool indicates ongoing innovation within the broader field of software development supported by AI technologies.
This narrative insightfully reflects the evolving role of AI in the software development landscape, making it particularly relevant for security and compliance professionals who seek to understand how generative AI impacts traditional workflows. The practical implications resonate with efforts to integrate AI securely and effectively into development practices while ensuring compliance with associated governance and regulations.