From Writing Code to Managing Agents. Most Engineers Aren't Ready | Stanford University, Mihail Eric

ℹ️ EPISODE INFO

Released

February 26, 2026

Duration

14m

Channel

EO Studio

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

Stanford Adjunct Lecturer Mihail Eric talks about what's happening to junior software developers right now — and what it takes to become an AI-native software engineer who survives the age of agents. If you want to learn more about Stanford's first AI software development class 👉 https://themodernsoftware.dev 'The Thinking Mode' is EO's interview series exploring how the world's sharpest minds are navigating the age of AI. 00:00 Intro 01:07 Lesson 1 - What is Happening to Junior Software Engineers? 03:16 Lesson 2 - How Top 1% AI-Native Software Engineers Orchestrate Agents 03:35 Build it up piecemeal 04:39 Context switching 05:45 Agent-Friendly Codebase 06:46 When you get spaghetti code 08:39 Lesson 3 - Functional Software vs Incredible Software 10:59 Lesson 4 - Why the world still needs junior software engineers 13:12 Next Episode 🔗 Read the full transcription of Mihail’s interview: https://www.eomag.io/article/stanford-mihail-eric?utm_source=youtube&utm_medium=description EO stands for Entrepreneur& Opportunities. As we're looking to feature more inspiring stories of entrepreneurs all over the world, don't hesitate to contact us at partner@eoeoeo.net X | @eostudi0 LinkedIn | @EO STUDIO Newsletter | https://www.eomag.io/subscribe?utm_source=youtube&utm_medium=description

🎤 SPEAKERS

• Mihail Eric

  guest

  Stanford-affiliated AI/software educator focused on agentic workflows and AI-native software development.

🧾 EPISODE SUMMARY

In this episode of EO Studio, featuring Mihail Eric, From Writing Code to Managing Agents. Most Engineers Aren't Ready | Stanford University, Mihail Eric explores AI-native engineers manage agents, not code, and need fundamentals Junior software engineers face a tougher job market due to post-2021 overhiring, layoffs, and a surge in CS graduates converging with AI productivity gains.

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