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The Evolution of Engineering in AI - From Prompt to Context to Loop Engineering

Digital Sparx Marketing

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The Evolution of Engineering in AI - From Prompt to Context to Loop Engineering

173 просмотра · 3 нед. назад
Digital Sparx Marketing
228 подписчиков
173 просмотра · 3 нед. назад
Unlock the future of engineering with insights from Derrick Bozkurt, a Site Reliability Engineer at Ring Central! In this episode, we dive into the evolution of software engineering, the impact of AI, and the changing role of engineers in today's tech landscape. Key takeaways: The shift in software engineering roles due to AI advancements. How engineers are becoming systems builders rather than just coders. The importance of security and critical thinking in coding. The rise of coding assistants and their role in enhancing productivity. Future trends in engineering and the demand for customized solutions. Timestamps: 00:00 Introduction 00:31 Derrick's journey in engineering 01:10 Evolution of software engineering 02:03 Speed to market and AI's impact 03:41 Token maxing explained 05:43 Understanding token mixing 06:56 The role of code assistants 08:49 Natural language coding 10:24 The changing role of engineers 12:04 The future of software engineering 13:16 The importance of coding assistants 15:37 Balancing speed and quality in coding 17:32 Learning through coding assistants 19:19 The perception of vibe coding 22:48 Key considerations for vibe coding 24:33 The shift from prompt engineering to loop engineering 26:57 Defining loop engineering 30:08 The rise of harnesses in AI engineering 33:43 The engineer of the future What's your biggest challenge with AI in engineering? Drop it in the comments! Subscribe for more insights on the future of technology and engineering! #SoftwareEngineering #AI #TechTrends