Balancing Speed with Quality Coding

Speed means nothing without quality. Shipping buggy, unmaintainable code faster is a false victory – you’re just speeding towards a cliff. The best engineers will balance the two: using AI to move faster without breaking things (at least not breaking things any more than we already do!). It’s about finding that sweet spot where AI does the heavy lifting and humans ensure everything stands up properly. - Addy Osmani writing on Elevate

23 Recent Articles about the Impact of AI on Health Care

Medical errors are still harming patients. AI could help change that. – NBC News

AI linked to explosion of low-quality biomedical research papers – Nature  

Machine Learning Model Helps Identify Patients at Risk of Postpartum Depression - Mass General Brigham

Your A.I. Radiologist Will Not Be With You Soon – New York Times  

How AI is changing radiology – Semafor

Medical AI trained on whopping 57 million health records – Nature

Eldercare robot helps people sit and stand, and catches them if they fall – MIT

AI Helped Heal My Chronic Pain – Wall Street Journal

How AI is changing your doctors appointments – Fast Company

As AI in health care proliferates, so do legal questions concerning its use – Stat News

Researchers raise red flag about AI-generated fake images in biomedical research – Medicalxpress

Walgreens doubles down on prescription-filling robots to cut costs, free up pharmacists amid turnaround – CNBC

Artificial neural networks date back to the 1950s – now they're ready to transform healthcare – Health Care IT News  

Artificial intelligence predicts kidney cancer therapy response -  UT Southwestern Medical Center

Refining ALS Diagnosis with AI – First Word Pharma

AI is coming to skin cancer detection - Washington Post

Every doctor is a writer: On the end of note-writing and meaning-making in medicine – Stat News

New AI algorithm to predict risk of cardiovascular events, heart-related death – AM 7 am

AI hasn’t killed radiology, but it is changing it – Washington Post

Transformer AI model detects wheezing in children with over 90% accuracy: study – Korea Biomedical Review

As they push ahead with AI, health leaders must set rules on use – American Medical Association

OpenAI leaps into health care with AI benchmark to evaluate models - Stat News

Medical schools move from worrying about AI to teaching it – American Association of Medical Colleges

Why AI May Be Listening In on Your Next Doctor’s Appointment - Wall Street Journal

AI Magic & Engineering Principles

None of this is to say AI can’t write good code – it sometimes does – but rather that context, scrutiny, and expertise are required to discern good from bad. In 2025, we are essentially using a very eager but inexperienced assistant. You shouldn’t blindly trust an AI’s code without oversight. The hype of “AI magic” needs to meet the reality of software engineering principles. - Addy Osmani writing on Elevate

22 Articles about How AI is Affecting Jobs

Why AI Interviews Could Be Bad News For Honest Designers – Andy Budd

The future of AI is in western Pennsylvania - Washington Post

I’m a LinkedIn Executive. I See the Bottom Rung of the Career Ladder Breaking. – New York Time 

AI and the future of work – Cambridge

An AI tool for better career decisions – David Bauer  

How AI Is Helping Job Seekers Pivot to New Careers - Wall Street Journal 

AI poses a bigger threat to women's work, than men's, says report – Reuters  

If you haven’t been worrying about AI, it’s time to start preparing - Washington Post 

Something Alarming is Happening to the Job Market: A new sign that AI is competing with college grads – The Atlantic

The AI Threat for Coding Jobs Is Becoming Clearer – Bloomberg  

The Hottest AI Job of 2023 Is Already Obsolete  - Wall Street Journal 

AI isn’t ready to do your job – Business Insider  

Microsoft says AI coworkers are coming fast – Yahoo Tech

The Dangers Of AI-Generated Job Candidates – Forbes 

AI “interns” are too big to ignore – Fast Company 

Why AI Might Not Take All Our Jobs—If We Act Quickly – Wall Street Journal

Americans worry AI is coming for these jobs – Washington Post

Say Hello to Your New Colleague, the AI Agent – Wall Street Journal

Google AI Search Leaves Website Makers Feeling Betrayed – Bloomberg

"AI-first" is the new Return To Office – Anil Dash

Innovate Why AI Won’t Replace Venture Capitalists Any Time Soon – Inc 

13 jobs that don't require a college degree − and won't be replaced by AI – USA Today

Unchecked AI-generated Code

Unchecked AI-generated code can massively amplify technical debt, the hidden problems that make software brittle and costly to maintain.  Many early vibe-coded projects look good on the surface (“it works, ship it!”) but hide a minefield of issues: no error handling, poor performance, questionable security practices, and logically brittle code. - Addy Osmani writing on Elevate

Instructors Using AI Get Student Pushback

"Students are complaining on sites like Rate My Professors about their instructors’ overreliance on A.I. and scrutinizing course materials for words ChatGPT tends to overuse, like 'crucial' and 'delve.' In addition to calling out hypocrisy, they make a financial argument: They are paying, often quite a lot, to be taught by humans, not an algorithm that they, too, could consult for free." -New York Times

Deep Practice

Deep practice feels a bit like exploring a dark and unfamiliar room. You start slowly, you bump into furniture, stop, think, and start again. Slowly, and a little painfully, you explore the space over and over, attending to errors, extending your reach into the room a bit further each time, building a mental map until you can move through it quickly intuitively. the instinct to slow down and break skills into their components is universal.  

We heard it a billion times while we were growing up, from parents and coaches who echoed the old refrain “Just take it one step at a time.” But what I didn't understand until I visited the talent hotbeds was just how effective that simple, intuitive strategy could be.  

In the talent hotbeds I visited, the chunking takes place in three dimensions. First, the participants look at the task as a whole—as one big chunk, the megacircuit. Second, they divide it into its smallest possible chucks. Third, they play with time, slowing the action down, then speeding it up, to learn its inner architecture.

People in the hotbeds deep-practice the same way a good movie director approaches a scene—one instant panning back to show the landscape, The next zooming in to examine a bug crawling on a leaf in slo-mo.

Daniel Coyle, The Talent Code