71–80 of 239 posts
Why are people so excited to put themselves out of a job? Not that these or any "skills" will do that, but just- in principle. This is like alienation from labor at scale.
a worker is just the sum total of all work related context. to collate, verify and organize this context is just asking to be replaced.
Cant wait for everyone to realize they've wasted a year + messing with agents and experiencing a feeling of psuedo productivity.
Trick is to not burn too much time worrying about the perfect skills and this and that. See a lot of people filling skills with LLM junk, or overdoing rules that start confusing the LLM. Just try Vanilla, see something you don't like? Then you make a skill and funnel the LLM to use it for the style of task it's working on. E.g. database work is a mixed bag with LLMs, they tend to do work in totally different styles i…
Everything needs an element of human touch, I would somehow only run vanilla things. But if, let’s say, I’m creating backup scripts, I meticulously outline the plan.
Why are people so excited to put themselves out of a job? Not that these or any "skills" will do that, but just- in principle. This is like alienation from labor at scale.
Cant wait for everyone to realize they've wasted a year + messing with agents and experiencing a feeling of psuedo productivity.
I don’t think people are wasting too much time. Although, I do agree most of these posts are just bs, including this one. But AI-development has been a thing across a lot of companies in the world.
Cant wait for everyone to realize they've wasted a year + messing with agents and experiencing a feeling of psuedo productivity.
I’m a bit curious with these takes. Arguing in good faith - is the general assumption that people who use AI/agents/harnesses don’t ship features? We’ve been all in Claude Code since ~Septemberish, and have been able to successfully track the boost. Like the features that we ship that get used in production. Both from infrastructure side, and business logic implementations. Frontend and backend. I don’t think people…
AI is a powerful tool. Depending on what I need I use chatgpt, in-ide agents, or a platform like Devin.ai.
I use it when it helps me advance my goals. I don't when it doesn't. Sometimes it misses the mark and I scale back and have it do a specific piece and I'll do the rest.
Sometimes I use it to analyze the code base in seconds vs minutes. Sometimes I use it to pinpoint a bug fast.
Ive solved customer issues in seconds and minutes with it vs hours.
I worked on a banking app with deeply domain specific data issues. AI was not very helpful on that team. My current work on consumer web apps mean my problems are more mundane and AI is a big accelerant.
Being and engineer means solving the problems with the right tools with the right tradeoffs as well. It's why I use an idea vs notepad, I use chatgpt for one-off scripts and "chat", and i use agentic workflows for big, repetitive, or "boring" low-stakes tasks.
Lately I keep hearing the same thing over and over: the things that are good for managing a team of devs are good for LLMs. Good test cases. Clear and concise documentation. CI/CD. Best practices and onboarding docs. Managing LLMs is becoming more and more similar to managing teams of people.
Snake oil. Good to read for sure. Seems all plausible too. But snake oil nevertheless. Here's why: The slot machine can drop any hard requirement that you specifically in your AGENTS.md, memory.md or your dozens of skill markdowns. Pretty much guaranteed. These harnesses approaches pretend as if LLMs are strict and perfect rule followers and the only problem is not being able to specify enough rules clearly enough. T…
However, I have been using spec-kit (which is basically this style of AI usage) for the last few months and it has been AMAZING in practice. I am building really great things and have not run into any of the issues you are talking about as hypotheticals. Could they eventually happen? Sure, maybe. I am still cautious.
But at some point once you have personally used it in practice for long enough, I can't just dismiss it as snake oil. I have been a computer programmer for over 30 years, and I feel like I have a good read on what works and what doesn't in practice.
Earlier quoted context omitted.
You’ll get downvoted for this hearsay!
I think you mean heresy. But maybe I don't get the reference you're making when you say hearsay
Or maybe the only people left opposing AI are so hardcore against it they form their identity (username) around it