Legacy code expert Ray Myers discusses the role of AI in mending legacy code, including its potential limitations and benefits. Topics covered include training AI with coding skills, utilizing AI for code maintenance and testing, and exploring the impact of AI in software development. Myers also delves into the evolution of AI and search algorithms, emphasizing the value of mastering legacy code in software development.
AI excels in new code creation but struggles with editing tasks in legacy code.
Integrating Large Language Models with existing tools can enhance coding workflows and syntax modifications.
Deep dives
Legacy Code - Changing Perspectives
Legacy code, often viewed with fear, offers valuable opportunities for impact. Despite the common apprehension towards legacy systems, delving into their complexities can greatly influence organizations and systems. By mastering legacy code skills and addressing neglected areas, individuals can make substantial contributions that set them apart in the software development realm.
AI in Software Engineering - Leveraging LLMs for Coding Assistance
Artificial Intelligence, especially Large Language Models (LLMs), is rapidly transforming software engineering processes. LLMs, though proficient at writing new code, can struggle with editing tasks and syntactic transformations. Integrating LLM capabilities with existing tools for efficient syntax modifications can enhance coding workflows, ensuring correct and context-aware code outputs.
Ethical Considerations in AI Adoption
While AI presents intriguing possibilities, ethical challenges arise in its application. Instances like AI-driven job interviews or automated relationship building lack human insight and connection, potentially compromising crucial interactions. Emphasizing careful practice in AI utilization to nurture genuine relationships and skills development is essential.
Legacy Code Skills and Software Impact
Embracing legacy code skills offers a path to meaningful contributions in software development. Overcoming the fear associated with legacy systems uncovers hidden value, positioning individuals as key contributors. By understanding and engaging with legacy code, professionals can drive impactful solutions and innovation in the software landscape.
AI proves to be great at writing new code, but what are its capabilities when it comes to mending the old one?
Today we talk with Ray Myers, a legacy code expert and sceptical enthusiast for AI. With 16 years of software engineering experience, he focuses on collective lessons learned to improve our existing systems and organizations. He tells us where is the place of AI in legacy code mending, whether AI can provide help when editing existing code, how to train AI with up-to-date coding skills, how to utilize AI when writing tests, and much more.
When you finish listening to the episode, make sure to connect with Ray on LinkedIn, visit his website at https://mender.ai, his YouTube channel Craft vs. Cruft, and take a listen to Empathy in Tech - a new podcast cohosted by Ray and Legacy Code Rocks former cohost, Andrea Goulet!