In this episode, we dive into blurring engineering lines, full-stack engineering, and the evolving role of software engineers in a rapidly changing landscape. Sahil shares insights on how generative AI is reshaping engineering, the shift towards problem-solving over-specialization, and how teams can optimize for speed and business value.Key Takeaways:🔹 Blurring Engineering Roles: Traditional engineering roles (frontend, backend, DevOps) are blending, leading to more end-to-end ownership. Engineers who can span the stack and understand business impact are becoming more valuable.🔹 The Power of Problem-Solving: As AI tools handle more code generation, the real skill will be problem formulation—defining problems correctly will matter as much as solving them.🔹 Generative AI’s Impact: AI-powered tools are shifting software development leftward—catching security issues, automating QA, and assisting in DevOps before code even leaves the IDE.🔹 Optimizing for Speed & Business Value: Small, autonomous teams with full ownership tend to deliver higher impact faster than large, interdependent teams.🔹 The Future of Software Engineering: Despite concerns about AI replacing coding jobs, the demand for software engineers will increase, not decrease. The job will evolve, with natural language-based programming replacing traditional syntax-based coding.Timestamped Highlights:⏳ [00:00:00] Introduction – Sahil Maheshwari joins the show to discuss blurring engineering lines and its impact on speed and value.⏳ [00:01:09] Full-Stack Engineering Revisited – Why the traditional boundaries between frontend, backend, and DevOps are disappearing.⏳ [00:03:40] Generative AI and Engineering Autonomy – How AI-powered tools are enabling engineers to work across disciplines.⏳ [00:06:57] Measuring Business Value & Speed – What are the right metrics to track speed and efficiency in engineering teams?⏳ [00:08:59] Shift Left Engineering – Why engineers need to be closer to the problem and the customer to deliver the most value.⏳ [00:12:11] AI & Developer Productivity – Real-world examples of how AI is making engineers more efficient.⏳ [00:17:00] The Evolution of Software Engineering – Will engineers still be writing code in the future, or will AI handle it all?⏳ [00:22:37] Ideal Team Structures – Why small, autonomous teams drive the most business value.⏳ [00:27:02] Decision-Making in Engineering – The importance of reversible vs. irreversible decisions in technology strategy.Quote from the Episode:"The most valuable engineers won't just be the best coders—they'll be the best at defining the right problems to solve." – Sahil MaheshwariConnect with Sahil Maheshwari:🔗 LinkedIn: Reach out to Sahil on LinkedInEnjoyed the Episode?📩 Share it with your colleagues in engineering & tech leadership!⭐ Subscribe & leave a review to help others discover the show.🗣️ Continue the conversation – Drop a comment or reach out if you have thoughts or questions!