AI Engineering Fundamentals You Need to Know To Succeed As Software Engineer (Microsoft Trainer)

Most engineers are using AI coding tools without understanding what they actually are and it's costing them. Microsoft Certified Trainer Rob Bos has trained thousands of engineers on AI tooling, and he sees the same gaps in fundamentals show up again and again, regardless of seniority. This is what you need to know: - What an LLM actually is (and why understanding this changes how you use it) - Why prompt engineering isn't optional - How AI magnifies your existing technical debt instead of fixing it - The 6-month learning curve nobody warns you about - Why your role as an engineer was never about writing code - The environmental cost behind every prompt Whether you're skeptical of AI tools or already living in agent mode, these are the fundamentals that separate engineers who get real value from those who get burned by the hype. Connect with Rob: https://www.linkedin.com/in/bosrob References: Token tracker: https://marketplace.visualstudio.com/items?itemName=RobBos.copilot-token-tracker Dev survey: https://www.activestate.com/wp-content/uploads/2019/05/ActiveState-Developer-Survey-2019-Open-Source-Runtime-Pains.pdf Timestamps: 00:00:00 - Intro 00:00:43 - The #1 Thing Engineers Get Wrong About AI 00:02:09 - How Much LLM Theory Do You Actually Need? 00:03:58 - Why Pair Programming Is Still the Best Way to Learn AI 00:05:26 - Why Rob Skips Tab Completion and Lives in Agent Mode 00:07:03 - The "AI Doesn't Increase Productivity" Debate 00:08:29 - Why Your Real Job Was Never Writing Code 00:09:14 - The 2-Hours-of-Coding Problem No One Talks About 00:11:02 - More Code = More Pressure on Your Review Process 00:12:21 - Why AI Magnifies Existing Technical Debt 00:13:39 - The Customer Who Couldn't Start AI With Developers Yet 00:15:11 - The Future Engineer: Reviewer, Not Writer 00:17:00 - Convincing the AI Skeptic Who Tried It Years Ago 00:19:17 - LLMs Explained Without Visuals (Attention & Semantics) 00:22:41 - Why Prompt Engineering Actually Matters 00:24:20 - From Zero to Hero: The 6-Month Learning Curve 00:26:18 - Is This Confrontational for 20-Year Veterans? 00:29:30 - Becoming a Better Engineer by Thinking in Systems 00:31:26 - Will AI Stop Working as Innovation Slows? 00:34:26 - The Lost Art of Pair Programming with AI 00:35:44 - Tribalism in AI Tools (And Why It's Pointless) 00:37:33 - Tool Agnostic: Start With the Foundations 00:39:40 - Is the IDE Still Relevant? 00:40:50 - The Bluescreen Story That Changed His Mind 00:41:47 - The Hidden Environmental Cost of AI Coding 00:44:15 - 36 Million Tokens in 30 Days: What Does It Mean? 00:45:47 - Running LLMs at the Edge to Cut the Footprint 00:46:48 - Why You Should Be Allowed to Wait Five Minutes Longer 00:47:05 - Outro #githubcopilot #aicoding #softwareengineering Connect with Patrick Akil: https://www.linkedin.com/in/patrick-akil https://twitter.com/PatrickAkil_