Why Coding Alone Is No Longer Enough: Become A Product-Minded Engineer

Why Coding Alone Is No Longer Enough: Become A Product-Minded Engineer

With AI generating code faster than ever, coding alone is no longer enough. The engineers who will stand out aren’t the ones who write the most code, but the ones who know what to build and why.

In this episode, Drew Hoskins, author of “The Product-Minded Engineer”, shares how engineers can develop the product thinking skills that will define their careers in the AI era. Drew draws on his experience as a senior staff engineer at Microsoft, Meta, and Stripe to explain why the best engineers care as much about the what and why as the how. He introduces the Double Diamond Framework (Discover, Define, Develop, Deliver) and calls out why most engineers make the mistake of jumping straight to the Develop phase. He also explains the concept of the “great re-indexing”: the mental shift required to switch between thinking like an engineer and thinking like a user. As AI takes over more of the routine coding work, Drew argues that product skills, people skills, and ownership skills are what will separate good engineers from truly impactful ones.

Key topics discussed:

  • What makes an engineer “product-minded”
  • Why engineers skip Discovery and what it costs them
  • The Double Diamond: a framework for building the right thing
  • How to think in user scenarios, not just system diagrams
  • The “great re-indexing” between engineer and user thinking
  • Why discoverability can 10x your feature’s impact for little cost
  • How AI is making product skills more valuable, not less
  • What junior engineers should focus on to stay relevant

Timestamps:

  • (00:00) Trailer & Intro
  • (02:35) What Is a Product-Minded Engineer?
  • (05:37) What Did Drew Learn Working at Microsoft, Meta, and Stripe?
  • (14:13) What Are the Biggest Challenges When Switching from Engineering to Product Management?
  • (16:33) What Skill Gaps Hold Engineers Back from Product Thinking?
  • (20:56) How Do You Bridge the Communication Gap Between Engineers and PMs?
  • (26:07) What Are The Four Pillars (Double Diamond Framework)?
  • (29:43) Why Should Engineers Care About the Deliver Phase?
  • (32:40) How Should Engineers Apply the Double Diamond Framework Day-to-Day?
  • (36:15) How Is AI Reshaping the Role of Product Engineers?
  • (40:06) Should Product Managers Learn to Code in the AI Era?
  • (43:56) What Is the Right PM-to-Engineer Ratio in the AI Era?
  • (45:48) How Should Engineering Leaders Respond to AI Productivity Pressure?
  • (51:04) What Advice Would You Give Junior Engineers Entering the Industry Today?
  • (55:17) What Other Topics Does the Product-Minded Engineer Book Cover?
  • (57:03) 3 Tech Lead Wisdom

_____

Drew Hoskins’s Bio
Drew Hoskins blends product, engineering, and storytelling in his work and writing. He is the author of The Product-Minded Engineer. As an engineer, Drew has helped design and build a wide range of innovative products and platforms for Microsoft, Meta, and Stripe.

Throughout his career, he has carried a passion for empowering developers. He’s founded and led several teams to major successes with developer platforms that have withstood the test of time. He’s currently a Staff Product Manager at Temporal Technologies, bringing durable execution to the masses.

He is an expert bridge player, having won a North American Championship in 2025, and lives in the beautiful and nerdy San Francisco Bay Area.

Follow Drew:


Like this episode?
Show notes & transcript: techleadjournal.dev/episodes/250.
Follow @techleadjournal on LinkedIn, Twitter, and Instagram.
Buy me a coffee or become a patron.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(279)

Software Engineering Laws Every Developer Must Know in the AI Era - Milan Milanovic

Software Engineering Laws Every Developer Must Know in the AI Era - Milan Milanovic

Does moving faster with AI mean you get to skip the laws that governed every software project before it? Milan Milanovic argues the opposite, the old laws of software engineering now apply twice as ha...

10 Aug 1h 1min

Signals & Levers: Systems Thinking to Navigate Software Delivery Illusions - Elisabeth Hendrickson & Joel Tosi

Signals & Levers: Systems Thinking to Navigate Software Delivery Illusions - Elisabeth Hendrickson & Joel Tosi

(04:48) Brought to you by SpeechifyAITired of text-to-speech that sounds robotic or costs too much at scale? SpeechifyAI's new Simba 3.2 model ranks #1 on Artificial Analysis for realness, priced unde...

3 Aug 1h 17min

From Technical Debt to Triple Debt: The Hidden Cost of AI-Generated Code

From Technical Debt to Triple Debt: The Hidden Cost of AI-Generated Code

Is vibe coding quietly draining the thing that makes teams effective: their shared understanding? Margaret breaks down her new “triple debt” model, and why cognitive debt might be the one nobody’s tra...

27 Juli 1h 10min

Ex-Gojek CTO: Why the Age of AI Rewards Builders as Judgment Becomes Expensive

Ex-Gojek CTO: Why the Age of AI Rewards Builders as Judgment Becomes Expensive

If expertise is becoming almost free, why is judgment becoming the most expensive skill in tech? Ajey Gore, former Gojek CTO, explains why the age of AI agents rewards builders over typists.In this ep...

13 Juli 1h 22min

The AI Productivity Paradox: Why 10X Output Doesn't Mean 10X Business Outcome

The AI Productivity Paradox: Why 10X Output Doesn't Mean 10X Business Outcome

What if optimizing for AI output is actually slowing your company down? When code becomes nearly free to produce, the organizations still measuring productivity by output are solving the wrong problem...

29 Juni 1h 5min

The Hidden Stories Sabotaging Your Culture Change

The Hidden Stories Sabotaging Your Culture Change

Why do 70% of change efforts fail — even when leadership is fully committed? The answer isn’t strategy or resources; it’s the hidden stories people unknowingly carry that silently block every initiati...

15 Juni 1h 8min

Creator of Meta's Hack: Your AI Will Always Cheat — Here's How to Stop It

Creator of Meta's Hack: Your AI Will Always Cheat — Here's How to Stop It

What if your AI coding agent is quietly cheating on your tests — and how do you stop it? Julien Verlaguet, who built the type system Meta used to migrate tens of millions of PHP lines, is now building...

8 Juni 1h 18min

Eric Ries: Why Good Tech Companies Go Bad, and How to Stop It

Eric Ries: Why Good Tech Companies Go Bad, and How to Stop It

Why do companies with the best intentions end up betraying their customers, employees, and mission? Eric Ries calls it “financial gravity” — an invisible force that pulls even the most principled comp...

1 Juni 1h

Populärt inom Teknik

uppgang-och-fall
market-makers
skogsforum-podcast
rss-uppgang-och-fall
rss-elektrikerpodden
rss-laddstationen-med-elbilen-i-sverige
 och-bilen-gar-bra
elbilsveckan
natets-morka-sida
rss-en-ai-till-kaffet
developers-mer-an-bara-kod
bosse-bildoktorn-och-hasse-p
rss-veckans-ai
bli-saker-podden
rss-fabriken-2
rss-upplyst-entreprenordirektor
rss-jonas-jaani-podcast
rss-milpodden
hej-bruksbil
garagehang