Replying to @ThomasBurkhartB
I’ve routinely looked at human apps that have had years of development and found stupid edge cases they missed. Hardly unique to agents.
Replying to @GandalfObiewan @ShamashAran
This is just keyword matching, not Ai. Ai would be an improvement as it would not likely make the same mistake.
Replying to @robey1kenobe @MikeCalcara
All that may be true but I consider the GLS the best “non-truck like” SUV regardless of price. I’m currently driving my fourth one. Absolutely brilliant car.
Replying to @MikeCalcara
Why would you choose a GLE when the GLS exists
Replying to @cyberdrk
One indicator could be hundreds of Ai tagged commits on GitHub or gitlab. As someone with 95% of work not in public, I understand the limitations but a top-tier hire will have some public code.
Replying to @Ankur_Sehrawatt
Flow Diagram. pointbluetech.com/flowdiagra…
Replying to @T3chFalcon
Except an agent can easily distinguish between visible and invisible content and act appropriately. They are also not dumb parrots that accept any instruction. Try this with Opus 5.5 and see what happens.
Replying to @not_sacke
Flow Diagram pointbluetech.com/flowdiagra…
Replying to @bendiken
My experience as well. The change since I started in 1978 is immense.
Jerry Combs retweeted
The biggest misread of anyone predicting the end of software engineering was imagining that the world only needed a certain amount of software, and bringing automation to the field would reduce the need for labor.
Exactly the opposite is happening where essentially most things are actually turning into software. Because agents can use tools, work with computers, write software on the fly, and process data like humans (but far faster), we can now throw “software” at problems that never could reasonably be digitized before.
What that leads to is the role of engineering taking on greater importance in the economy, because we can now engineer far more systems and processes than were possible before.
If you’re a bank trying to do new forms of trading, engineers are often your first bet. If you are in life sciences, you expect more and more research and lab work to be engineering centric. If you’re in manufacturing, you’re trying to automate more of the supply chain, all that is engineering. More and more work is shaped like software problems.
Yes we’re not going to be coding manually in the future. But almost everything will be code, which means those that understand it are in a fantastic position.
Some observations about the "total" automation of software engineering:
1. There are more software engineers now than in 2025, and demand is growing.
2. Software engineers have never worked harder than they do now.
3. They largely don't write code anymore, agents write ~100% of the code.
4. The bottom line of the companies that employs these engineers and agents (i.e. the terminal purpose of all this code) is typically not budging as a result of AI adoption.
This is why you have to think in terms of systems. Automating one aspect of a system creates its own friction and moves the bottlenecks elsewhere.
Jerry Combs retweeted

Devon Eriksen@Devon_Eriksen_Oct 17
United States!
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I didn't go to college until I was 30. This gave me a chance to see it with the perspective of an adult.
One lecture in Industrial Psychology, in particular, I will never forget.
The professor spoke about how an effective job description focused on concretely measurable tasks, not vague instructions, or characteristics.
For example, "maintain an 85% or greater average on customer feedback surveys", instead of "be cheerful and upbeat", or even "interact positively with customers".
This means that goals are clear, and performance is measurable. A job is to do something, not be something.
Once some of the students had wrapped their minds around this concept, the professor decided to do a class exercise.
He asked the female students to come up with a job description for "husband". At first, this went fine. The girls noodled around a bit with things they wanted their husbands to be (tall, etc), but he was able to gradually steer them towards describing what they wanted in terms of actions.
But then he asked the male students to define a wife in the same way.
And all the girls became upset. Some of them had full-on meltdowns.
Every single thing that a male student wanted, or expected, from his hypothetical future wife was sexist, oppressive, old-fashioned, misogynistic, patriarchal, etc.
They were literally screaming. Some of them in tears.
And I realized something pretty quickly. It wasn't the actual, concrete responsibilities of the female role that they objected to.
It was the idea of there being a female role at all, with any attached responsibilities.
These women didn't want to be wives. They wanted to be pets.
What's a pet? Well a pet is not a wife, or a friend. A pet is a creature of instinct, which you bring into your home because you like how it naturally behaves.
You get a cat because you want to behave like a cat, and do things a cat naturally does, like play with string, and purr when you pet him. If he's smart, he'll adapt to you somewhat, but he doesn't have responsibilities other than "be a cat".
If you get a wife, you get a wife so she will do things for you, specific things that are the responsibilities of wife, like care for your home, bear and raise your children, cook nutritious meals so you don't have to eat processed slop, look after your emotional well-being, and so on.
These girls didn't want to be held responsible for those things. As married women, they might have anticipated doing some of them, but only some of the time. Only when they felt like it.
The cat chases the string if and when it wants to, not because chasing the string is its job.
These young millenial women didn't realize it, but they wanted to be pets. And that's what they were in their college relationships. They hung out with guys when they wanted to, had sex with them when they wanted to, broke up with them for someone new when they wanted to.
Their relationships had no element of reciprocal responsibilities. They were perfectly at home with the idea of men having responsibilities to them, but they would repay those men if they chose, and how they chose, not how the men actually wanted.
And as I've said twice already, someone you have responsibilities to, but who has none to you, is a pet, or a child.
Since our ancestors, in a moment of foolishness and weakness, allowed women to vote, it is no longer legal to dole out the corrective spankings a great many of them both need and read pornographic novels about.
Therefore, the corrective measure, for any man who finds himself with a pet instead of a wife, is to withdraw from any husbandly duties and start actively searching for alternatives.
This can either result in a correction of the behavior, or the end of a relationship that offers no value. Either is acceptable.
This may strike some of you as dishonorable, but there is no honor in keeping a broken pact, or in serving those who despise you.
Men must have the pride and self-worth to say "I will be honored and respected, or I will depart to a place where I can be, even if I must be alone there."
Men must honor and respect themselves.
Replying to @Raynerdtech
“Pasting”?? Tell us you are not up to speed with agentic coding without telling us you are not up to speed with agentic coding
Replying to @unclebobmartin @_mctrinh
People who think Ai writes code so inscrutable that you can never understand it it are just confessing their own incompetence. After over 40 years of looking at human written code and now a lot of agent written code, the agentic code is usually easier to read.
Replying to @DummScience
If you have been using an 11 year old Mac, the Air or the Neo, will be great for you. You definitely don’t need a Pro.
Replying to @jlalk
If I’m hiring a technologist, it’s best if he has his own domain.
Replying to @OfMikeAndMen
You can give it access to physical systems. Giving it such context will bring huge advancement



