Team AI vs. Team DIY: What product and engineering leaders need to know about AI-powered coding скачать в хорошем качестве

Team AI vs. Team DIY: What product and engineering leaders need to know about AI-powered coding

In early 2025, we conducted an internal experiment driven by a clear and timely challenge: how to reduce the time and cost of delivering high-quality software while maintaining development standards and minimizing risk. Team DIY wrote code manually using traditional workflows. Team AI used AI tools to guide development through prompting and refinement. Two teams. One product. Same scope, same stack, same timeline. What we found reshaped how we think about speed, scale, and the role of software teams in an AI-enabled future. Learn more: https://moduscreate.com/insights/ai-t... Timestamps: 00:00 Introduction 00:50 AI experiment overview 01:52 Current state of agentic AI tools 03:13 AI’s impact on the product development cycle 04:05 Collaborating with AI agents 05:43 Prompt engineering and communication 07:05 Problem-first thinking 08:38 AI’s rapid change and future expectations 12:06 What we built with AI 13:34 Integrating AI agents into applications 16:53 Selecting an AI model 18:16 What we learned about AI -------------------------------------------------- 📽 Subscribe to get the latest insights from our global team of technologists and strategists: http://mdus.co/subscribe 📝 Check out our blog for insights from innovation leaders about AI and emerging technologies: https://moduscreate.com/blog 💻 Modus Create helps companies confidently build and scale the technology they need to stay ahead — whether that's launching digital products, modernizing platforms, adopting AI, or securing their applications and infrastructure. See our work in action: https://moduscreate.com/work/ 🌐 For over 14 years, we have partnered with enterprise companies—especially in life sciences, finance, software, and manufacturing—to help them get more out of their technology investments. Whether it’s launching a new product or modernizing core systems, our teams bring both strategic insight and deep technical skill. We don’t just deliver code—we build confidence that tech is delivering business value. Our partners include AWS, Atlassian, GitHub, and others at the forefront of cloud and AI.