## Metadata: - Source: Eleonora Fanouraki - Reference: [Link](https://www.devrelx.com/post/ai-spotlight-63-of-developers-engage-with-ai-assisted-development) [[3. Resources/Literature Notes/63% of Developers Engage With AI-Assisted Development]] - Tags: #AIassisteddevelopment , #generativeAI , #leadership , #emergingtechnologies , #maturation , #softwaredevelopment , #femalecoders, #StateOfDeveloperNationReport ## Summary: AI-assisted development has evolved from being a trend to becoming a valuable tool as 63% of developers engage in aspects of AI-assisted development, according to SlashData's State of Developer Nation report. There has been an increase in the number of developers actively working or learning about AI-assisted development, indicating that it is maturing. Generative AI, another new technology, is exciting, with 57% of developers involved or interested in it. Leaders demonstrate higher rates of involvement with emerging technologies. The complete report provides additional information on emerging technologies that developers find interesting, women's role in software development, updates on language communities, and other topics. ## Main Content: AI-assisted development has transitioned from being a mere trend to becoming a valuable tool in the software development landscape. According to SlashData's State of Developer Nation report, 63% of developers are engaged in some aspect of AI-assisted development. This indicates a significant increase in the number of developers actively working or learning about AI-assisted development, suggesting that it is maturing and gaining practical applicability. Generative AI, a new and exciting technology, has captured the interest of developers. The report reveals that 57% of developers are actively involved or interested in generative AI. This technology holds promise for generating creative and innovative solutions, making it an attractive area of exploration for developers. Leaders in C-suite and other leadership positions show higher rates of engagement with emerging technologies, including AI-assisted development and generative AI. Their involvement and recognition of the potential of these technologies contribute to driving the revolution in AI-assisted development further. The State of Developer Nation report provides additional insights on various topics. It explores the technologies that capture developers' imaginations, shedding light on emerging trends and areas of interest. The report also delves into the role of female coders in software development, highlighting their contributions and challenges. Furthermore, it provides updates on language communities, offering valuable information on the evolving landscape of programming languages. In conclusion, AI-assisted development and generative AI have gained significant attention from developers, indicating their maturation and practical applicability. Leaders in C-suite and other leadership positions demonstrate higher rates of involvement with emerging technologies, thereby driving the revolution in AI-assisted development further. The State of Developer Nation report provides comprehensive insights into emerging technologies, the role of female coders, and updates on language communities, contributing to a deeper understanding of the software development landscape. ## Links - [[AI & the Future of Knowledge Work MOC]] — applies-in — adoption data for the AI-and-work thesis - [[DevRel MOC]] — situates AI-assisted dev within developer trends DevRel must track - [[3. Resources/Readwise/Articles/Stop Reading Every Line of Code]] — extends: adoption changes code review from line-by-line authorship toward risk-based verification. - [[3. Resources/Permanent Notes/Editable Slots Separate Content Rights From Structural Rights]] — applies-in: AI-assisted creation becomes safer when generated structure and editable content have different permission boundaries. - [[3. Resources/Permanent Notes/AI Adoption Concentrates Where It Is Pleasant Not Where the Pain Is]] — because the 63% engagement figure measures breadth of adoption without showing where developers actually apply it, and this note argues adoption skews toward pleasant tasks rather than the highest-pain ones. - [[3. Resources/Permanent Notes/Individual Agent Adoption Does Not Become Team Capability by Aggregation]] — because a headline engagement percentage aggregates individual developers, and this note warns that individual usage numbers like this one don't automatically add up to organizational capability. - [[3. Resources/Permanent Notes/AI Coding Defaults to Addition Over Maintenance]] — because it's evidence for what the growing engagement this report measures actually produces in code — more additive generation, less maintenance care.