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AI is ushering in a “tiny team” era
31–40 of 189 posts
Re: AI is ushering in a “tiny team” era
#32Earlier quoted context omitted.
If I'm buying soup, I'd prefer the manufacturer, the retailer, and any other part of the supply chain to be as efficient as possible, so they can compete in the market to offer me soup of a given quality at the lowest possible cost. An individual consumer doesn't derive any benefit from companies missing out on automation opportunities. Would you prefer to buy screws that are individually made on a lathe?
Personally, the best soups I’ve ever had were not made in kitchens that were optimized for efficiency or automation, they were optimized for quality. They weren’t cheap soups, but they sure were good.
Luxury goods and staple goods have distinct optimizations, both viable for generating profits and economic utility.
A high end soup and an affordable soup might be serving two different markets.
Re: AI is ushering in a “tiny team” era
#33I'm not entirely convinced this trend is because AI is letting people "manage fleets of agents". I do think the trend of the tiny team is growing though and I think the real driver were the laysoffs and downsizings of 2023. People were skeptical if Twitter would survive Elon's massive staff cuts and technically the site has survived. I think the era of the 2016-2020 empire building is coming to an end. Valuing a mana…
I think the productivity improvement you can get just from having a decent LLM available to answer technical questions is significant enough already even without the whole Agent-based tool-in-a-loop thing. This morning I used Claude 4 Sonnet to figure out how to build, package and ship a Docker container to GitHub Container Registry in 25 minutes start to finish. Without Claude's help I would expect that to take me a…
I'm not denying LLMs are useful. I believe the trend was going to happen whether regardless of how useful LLMs are.
AI ended up being a convenient excuse for big tech to justify their layoffs, but Twitter already painted a story about how bloated some organizations were. Now that there is no longer any status in having 9,001 reports the pendulum has swing the other way - it's now sexy to brag about how little people you employ.
Re: AI is ushering in a “tiny team” era
#34AI helps you cook code faster, but you still need to have a good understanding of the code. Just because the writing part is done quicker doesn't mean a developer can now shoulder more responsibility. This will only lead to burn out, because the human mind can only handle so much responsibility.
> but you still need to have a good understanding of the code
I've personally found this is where AI helps the most. I'm often building pretty sophisticated models that also need to scale, and nearly all SO/Google-able resources tend to be stuck at the level of "fit/predict" thinking that so many DS people remain limited to.
Being able to ask questions about non-trivial models as you build them, really diving into the details of exactly how certain performance improvements work and what trade offs there are, and even just getting feed back on your approach is a huge improvement in my ability to really land a solid understanding of the problem and my solution before writing a line of code.
Additionally, it's incredibly easy to make a simple mistake when modeling a complex problem and getting that immediate feedback is a kind of debugging you can otherwise only get on teams with multiple highly-skill people on them (which at a certain level is a luxury reserved only for people working a large companies).
For my kind of work, vibe-coding is laughably awful, primarily because there aren't tons of examples of large ML systems for the relatively unique problem you are often tasked with. But avoiding mistakes in the initial modeling process feels like a super power. On top of that, quickly being able to refactor early prototype code into real pipelines speeds up many of the most tedious parts of the process.
Re: AI is ushering in a “tiny team” era
#35I'm working on a bunch of different projects trying out new stuff all the time for the past six months. Every time I do something I add another layer of AI automation/enhancement to my personal dev setup with the goal of trying to see how much I can extend my own ability to produce while delivering high quality projects. I definitely wouldn't say I'm 10x of what I could do before across the board but a solid 2-3x ave…
Instagram was 13 employees before they were purchased by Facebook. The secret is most employees in a 1000 person company don't need to be there or cover very niche cases that your company likely wouldn't have.
Re: AI is ushering in a “tiny team” era
#36It’s true, especially with the “vibe” movement happening in real-time on X… “you can just do things” — I am building ai app layers b2c/b2b and while I do have an ml technical co-founder, I am largely scaling this with AI from strategy, visuals to coding. For example, with Claude created a framework for my company to scale, then built an AI powered dashboard in cursor around it as the command center. At scale we don’t need a team of more than ~5 to reach 7 fig MRR.
Greg Isenberg has some of the best takes on this on X. He articulates the paradigm shift extremely well.. @gregisenberg — one example: https://x.com/gregisenberg/status/1936083456611561932?s=46)
Re: AI is ushering in a “tiny team” era
#37Earlier quoted context omitted.
> Every time I do something I add another layer of AI automation/enhancement to my personal dev setup with the goal of trying to see how much I can extend my own ability to produce while delivering high quality projects Can you give some examples? What’s worked well?
- Extremely strict linting and formatting rules for every language you use in a project. Including JSON, YAML, SQL. - Using AI code gen to make your own dev tools to automate tasks. Everything from "I need a make target to automate updating my staging and production config files when I make certain types of changes" or "make an ETL to clean up this dirty database" to "make a codegen tool to automatically generate lib…
Even things that took days or weeks are being done in minutes now. And a few hours on top to ensure correctness.
Re: AI is ushering in a “tiny team” era
#38AI gets top billing, but the assault via tax code on engineering employment is likely a bigger factor.
Re: AI is ushering in a “tiny team” era
#39Like Johnny Depp in that movie..
You’re gonna have to be more specific
Re: AI is ushering in a “tiny team” era
#40It seems like a more and more recurring shareholder wet dream that companies could one day just be AI employees for digital things + robotic employees for physical things + maybe a human CEO "orchestrating" everything. No more icky employees siphoning off what should rightfully be profit for the owners. It's like this is some kind of moral imperative that business is always kind of low-key working towards. Are you ri…
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