I'm a big fan of this explanation/rant from Andrew Murphy.
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@elizayer to be 100% completely super fair, we are seeing a massive increase in scams. So AI is good for something. Scams. It’s good for scams.
@spazcosoft @elizayer Wasn't this always? Newly hyped stuff is used for scam, or porn, or both.
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@macronencer @mroach @elizayer
When I was working, I would regularly solve a development issue while in the shower. I think it’s the brain being unstressed that does that. -
The fact that we are *not* seeing wildly improving software all around us tells us everything we need to know.
There is no flourishing of value delivery, new product categories, more needs being satisfied better. It’s the opposite.
All we are seeing is decreases in quality, because
code creation is not the problem.@elizayer@mastodon.social Claude Code found a 23-year-old Linux vulnerability, the kind a regular human security auditor would have taken weeks or months to find (or in this case, 23 years). https://mtlynch.io/claude-code-found-linux-vulnerability/
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@macronencer @mroach @elizayer
When I was working, I would regularly solve a development issue while in the shower. I think it’s the brain being unstressed that does that.@robtherunt @macronencer @elizayer Same! I’ve half jokingly said my bathroom is the most productive room in my home office setup. Sitting on the toilet and lots of a-ha moments
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I'm a big fan of this explanation/rant from Andrew Murphy.
Taken as a whole, there are many bottlenecks in a corporate software development process. The "load-bearing" calendar is a great example!
Speeding up code creation just increases pressure on the bottleneck, which decreases throughput.
If you thought the speed of writing code was your problem - you have bigger problems | Debugging Leadership
AI coding tools are optimising the wrong thing and nobody wants to hear it. Writing code was already fast. The bottleneck is everything else: unclear requirements, review queues, terrified deploy cultures, and an org chart that needs six meetings to decide what colour the button should be.
Debugging Leadership (andrewmurphy.io)
@elizayer @trendytoots I can very much relate to this
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So why are we still trying to optimize code creation?
For decades, people with power - executives and product people - have been shifting the blame for strategy failures and poor market insight onto development "productivity."
This AI moment should be incredibly clarifying. Like, it should be the reductio ad absurdum of a productivity-centric approach.
@elizayer management blame productivity for strategy failure because their approach to strategy path-finding is flooding: say a bunch of random hunches overconfidently, make teams try different things out for a little while, see what sticks. They see making code faster not as a way to manufacture a good design more efficiently, but as a means to generate management fuck ups and backpedals at faster pace and greater scale.
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The fact that we are *not* seeing wildly improving software all around us tells us everything we need to know.
There is no flourishing of value delivery, new product categories, more needs being satisfied better. It’s the opposite.
All we are seeing is decreases in quality, because
code creation is not the problem. -
The fact that we are *not* seeing wildly improving software all around us tells us everything we need to know.
There is no flourishing of value delivery, new product categories, more needs being satisfied better. It’s the opposite.
All we are seeing is decreases in quality, because
code creation is not the problem.@elizayer word!
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@elizayer@mastodon.social Claude Code found a 23-year-old Linux vulnerability, the kind a regular human security auditor would have taken weeks or months to find (or in this case, 23 years). https://mtlynch.io/claude-code-found-linux-vulnerability/
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I'm a big fan of this explanation/rant from Andrew Murphy.
Taken as a whole, there are many bottlenecks in a corporate software development process. The "load-bearing" calendar is a great example!
Speeding up code creation just increases pressure on the bottleneck, which decreases throughput.
If you thought the speed of writing code was your problem - you have bigger problems | Debugging Leadership
AI coding tools are optimising the wrong thing and nobody wants to hear it. Writing code was already fast. The bottleneck is everything else: unclear requirements, review queues, terrified deploy cultures, and an org chart that needs six meetings to decide what colour the button should be.
Debugging Leadership (andrewmurphy.io)
@elizayer And very well said it is!
This is why #BusinessAnalysts exist, or SHOULD exist.
To talk to your users and THEN to tell your coders what to build AND WHY.
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The fact that we are *not* seeing wildly improving software all around us tells us everything we need to know.
There is no flourishing of value delivery, new product categories, more needs being satisfied better. It’s the opposite.
All we are seeing is decreases in quality, because
code creation is not the problem.@elizayer workaday devs are serfs. Software architects are more crucial than ever. Architects emerge from jr devs through apprenticeship. Go.
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R relay@relay.mycrowd.ca shared this topic
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I'm a big fan of this explanation/rant from Andrew Murphy.
Taken as a whole, there are many bottlenecks in a corporate software development process. The "load-bearing" calendar is a great example!
Speeding up code creation just increases pressure on the bottleneck, which decreases throughput.
If you thought the speed of writing code was your problem - you have bigger problems | Debugging Leadership
AI coding tools are optimising the wrong thing and nobody wants to hear it. Writing code was already fast. The bottleneck is everything else: unclear requirements, review queues, terrified deploy cultures, and an org chart that needs six meetings to decide what colour the button should be.
Debugging Leadership (andrewmurphy.io)
@elizayer amen. This. So much this.
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The fact that we are *not* seeing wildly improving software all around us tells us everything we need to know.
There is no flourishing of value delivery, new product categories, more needs being satisfied better. It’s the opposite.
All we are seeing is decreases in quality, because
code creation is not the problem.The problem AI is meant to solve is wages.
They don't care if quality sucks, if they can avoid paying wages.
