Source URL: https://developers.slashdot.org/story/25/04/02/1611229/95-of-code-will-be-ai-generated-within-five-years-microsoft-cto-says?utm_source=rss1.0mainlinkanon&utm_medium=feed
Source: Slashdot
Title: 95% of Code Will Be AI-Generated Within Five Years, Microsoft CTO Says
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**Summary:** Microsoft CTO Kevin Scott emphasizes a transformative evolution in software engineering driven by AI, predicting that AI will generate 95% of code in five years. He suggests that this shift will not eliminate jobs but will change the role of software engineers to focus more on guiding AI. Despite current limitations of AI systems, improvements are anticipated soon.
**Detailed Description:** Kevin Scott, the Chief Technology Officer of Microsoft, recently provided insights into the future of software engineering in relation to AI during an episode of the 20VC podcast. His predictions highlight significant trends that are likely to impact the industry, particularly relevant to professionals in areas such as AI, cloud computing, and information security. Here are the major points derived from his statements:
– **AI Code Generation:** Scott predicts that within five years, up to 95% of code will be generated by AI. This signals a major shift in how software development will be approached.
– **Transformation of Roles:** He asserts that AI will not replace software engineers but will instead transform their roles. Engineers will pivot from direct coding to overseeing AI outputs.
– **Shift in Skill Set:** The concept of “input master” referring to traditional programming languages will transition to “prompt master,” which denotes a focus on crafting effective AI prompts and instructions.
– **Current AI Limitations:** Scott acknowledges that existing AI systems have notable memory constraints, thus labeling them as “awfully transactional,” indicating that while they can automate certain tasks, they lack the depth required for complex software development.
– **Future Improvements:** Despite the current limitations, he forecasts significant advances in AI capabilities in the upcoming year, which could further empower engineers in their new roles.
This analysis offers valuable insights for professionals in AI and infrastructure security, as it underscores the emerging necessity for security protocols, compliance measures, and potential new governance structures surrounding AI-driven software development. The evolving relationship between human engineers and AI systems will require a reevaluation of security practices, particularly in software security and the protection of intellectual property.