I get your position, and I don't want to sound dismissive, but when you really learn how to manage an LLM for a complex piece of software far beyond what you have time for, you see the benefits.
> LLM for a complex piece of software far beyond what you have time for, you see the benefits.
Are LLMs the new Agile/Scrum?
"Once you really learn Scrum, it will solve all world problems and clean your house? Your experience is totally different? Skill issue. Try again."
I get your position and don't want to sound dismissive either, however I want to point out that in the only recent study actually trying to measure the productivity gains of LLMs it was observed that there is an actual 19% reduction of gains for experienced developers when using an LLM.
I asked an LLM to tell me why it "thinks" you observe an increase of productivity while studies show that for experienced developers it's a decrease, and it came up with the following "ideas":
"LLMs Fill Gaps in Knowledge Instantly. Junior developers often face friction from:
- Unfamiliar syntax
- Unclear documentation
- Uncertainty about best practices"
Again, I don't want to sound dismissive, but have you considered that instead of people not seeing the gains you are talking about due to a skills issue with how to fine prompt LLMs, that it's youseeing gains you wouldn't otherwise had you been more skillful?
If knowledge and experience isn't an issue, then LLMs will benefit the programmer less in that space, but are still useful for doing mundane activities you avoid doing, like pivoting an early idea about an API pathing strategy, and have the LLM do the test case pivot for you.
If knowledge and experience in the language is an issue, then LLMs have increased value as they can teach you language notation as well as do the mundane stuff.
If understanding good programming architecture / patterns is an issue, then you have to be more careful with the LLM as you are listening to advice from something that doesn't understand what you really want.
If understanding how to guide an LLM is an issue, then you have to work, test, and design ways of building guidelines and practices that get the outcomes you want.
Using LLMs to code isn't some cheat-code to success, but it does help greatly with the mundane parts of code if you know how to program, and program well.
How much of a large project is truly innovation? Almost every application has boilerplate code wrapped around it, error handling, CRUD endpoints, Web UI flows, all stuff you have to do and not really the fun stuff at the core of your project.
This is where I find LLMs shine, they help you burn through the boring stuff so you can focus more on what really delivers value.
This corroborates my observation that the people I've seen most excited about LLMs are management types who know how to code but not really. They love to talk about how productive LLMs make them. I think the alleged increased productivity is just in their heads.
I have lost a few friends to llm sycophancy induced psychosis wherein they believe, and are encouraged to believe by the llm that, they are the sole individuals who have cracked "prompting", and, in fact, by so doing, have summoned the singularity for their sole benefit and under their sole control.
> A Prominent OpenAI Investor Appears to Be Suffering a ChatGPT-Related Mental Health Crisis, His Peers Say "I find it kind of disturbing even to watch it."
ath3nd|6 months ago
Are LLMs the new Agile/Scrum?
"Once you really learn Scrum, it will solve all world problems and clean your house? Your experience is totally different? Skill issue. Try again."
I get your position and don't want to sound dismissive either, however I want to point out that in the only recent study actually trying to measure the productivity gains of LLMs it was observed that there is an actual 19% reduction of gains for experienced developers when using an LLM.
https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...
I asked an LLM to tell me why it "thinks" you observe an increase of productivity while studies show that for experienced developers it's a decrease, and it came up with the following "ideas":
"LLMs Fill Gaps in Knowledge Instantly. Junior developers often face friction from:
- Unfamiliar syntax
- Unclear documentation
- Uncertainty about best practices"
Again, I don't want to sound dismissive, but have you considered that instead of people not seeing the gains you are talking about due to a skills issue with how to fine prompt LLMs, that it's you seeing gains you wouldn't otherwise had you been more skillful?
calrain|6 months ago
If knowledge and experience in the language is an issue, then LLMs have increased value as they can teach you language notation as well as do the mundane stuff.
If understanding good programming architecture / patterns is an issue, then you have to be more careful with the LLM as you are listening to advice from something that doesn't understand what you really want.
If understanding how to guide an LLM is an issue, then you have to work, test, and design ways of building guidelines and practices that get the outcomes you want.
Using LLMs to code isn't some cheat-code to success, but it does help greatly with the mundane parts of code if you know how to program, and program well.
How much of a large project is truly innovation? Almost every application has boilerplate code wrapped around it, error handling, CRUD endpoints, Web UI flows, all stuff you have to do and not really the fun stuff at the core of your project.
This is where I find LLMs shine, they help you burn through the boring stuff so you can focus more on what really delivers value.
booleandilemma|6 months ago
dnh44|6 months ago
hckrfucrs|6 months ago
You sound exactly like them.
sanderhnoj|6 months ago
https://xcancel.com/GeoffLewisOrg/status/1945212979173097560
> A Prominent OpenAI Investor Appears to Be Suffering a ChatGPT-Related Mental Health Crisis, His Peers Say "I find it kind of disturbing even to watch it."
From https://futurism.com/openai-investor-chatgpt-mental-health
thrown-0825|6 months ago