In its latest labor market report, the New York Federal Reserve found that recent CS grads are dealing with a whopping 6.1 precent unemployment rate. Those who majored in computer engineering — which is similar, if not more specialized — are faring even worse, with 7.5 percent of recent graduates remaining jobless. .I mean, best in class compensation, strong work life balance and prestige. Hundreds of thousands of students flocked to CS degrees as a no-brainer career.

Dohmke [GitHub CEO] described an effective workflow where AI tools generate code and submit pull requests. Developers can make immediate adjustments using their programming skills. Matches my experience as well. A silly example. I ask AI to add padding to a div and it adds a style inline tag. Not a pt-3 class. AI has been great for getting 80% started. The rest is still up to us. Quote Citation: TECHINASIA, “GitHub CEO: manual coding remains key despite AI boom”, 23 Jun 2025, https://www.

But there’s no fun anymore. The stores just feel really kind of dingy, unkempt, with stuff locked behind doors. Not much of a shopper, but Target really felt like a fun place to shop with great deals and clean stores. The answer seems so obvious to me, hire. more. people. Check outs and returns routinely take 20-30 min, the self checkout lanes are so slow and the lines long. My frequent impulse buys of Legos or Switch Games for the kids are locked up, not even able to browse.

The share of people 30 days delinquent on their credit card debt has trended upward since the first half of 2021, and that trend was widespread among all four geographies we examined. Lookinga the included graphs it seems since 2023 delinquency has gone from up almost 10% points (log scale). Somethings gotta give. Quote Citation: Juan M. Sánchez , Masataka Mori, “The Broad, Continuing Rise in Delinquent U.S. Credit Card Debt Revisited”, May 09, 2025, https://www.

Redoing work is now extremely cheap. Code in the small is less important than structural patterns and organisation of the code in the large. You can also build lots of prototypes to test an idea out. For this, vibe-coding is great, as long as the prototype is thrown away and rewritten properly later. This is fitting my better understanding of the shift in software development from vibe coding (hello Ruby on Rails would like a word) and using prompts to build design docs to THEN build software.

I think it’s actually the other way around. A truly great engineering organization is one where perfectly normal, workaday software engineers, with decent software engineering skills and an ordinary amount of expertise, can consistently move fast, ship code, respond to users, understand the systems they’ve built, and move the business forward a little bit more, day by day, week by week. Agree completely. And besides have you ever tried to manage that many egos on one team?

The IIHS came up with an easier way to repeatably measure and compare what a driver can see in a 180-degree forward-facing view out of a vehicle. The method involves a special portable camera rig that captures a driver’s view. That image is then processed to determine what percentage of the road in a specified radius is visible, and what’s blocked by the vehicle’s A-pillars, hood, and side-view mirrors. The result is an aerial view of where the driver’s vision is obstructed—the blind zone—as well as a percentage of the surrounding area that’s visible.

Speaking to the US Senate Banking Committee on Wednesday to give his semiannual monetary policy report, Powell told elected officials that AI’s effect on the economy to date is “probably not great” yet, but it has “enormous capabilities to make really significant changes in the economy and labor force.” No timeline given, but another signal that labor disruption is on the horizon. And fiddling with interest rates isn’t going to fix this one.

Since the start of 2023, more than half-a-million tech workers have been laid off, according to industry tallies. Headlines have blamed over-hiring during the pandemic and, more recently, AI. But beneath the surface was a hidden accelerant: a change to what’s known as Section 174 that helped gut in-house software and product development teams everywhere from tech giants such as Microsoft (MSFT) and Meta (META) to much smaller, private, direct-to-consumer and other internet-first companies.

Eoin Hinchy, cofounder and CEO of workflow automation company Tines, said his team had 70 failures with an AI initiative they were working on over the course of a year before finally landing on a successful iteration. As Jim Collins says, bullets then cannonballs. ‘AI’ covers so many types of solutions that to say you’re doing ‘AI’ is a lot like ‘we have a website’ in the late 90s. Congratulations on recognizing that the internet/ai is transformative.