Summarizer

The power to the people is not us the developers and coders. We know how to do a lot of things, how to automate etc. A billion people do not know this and probably benefit initially a lot more. When i did some powerpoint presentation, i browsed around and draged images from the browser to the desktop, than i draged them into powerpoint. My collegue looked at me and was bewildered how fast I did all of that.

Totally this. People who don't see this seem to think we're in some sort of "bubble" or that we don't "ship proper code" or whatever else they believe in, but this change is happening. Maybe it'll be slower than I feel, but it will definitely happen. Of course I'm in a personal bubble, but I've got very clear signs that this trend is also happening outside of it. Here's an example from just yesterday. An acquaintance of mine who has no idea how to code (literally no idea) spent about 3 weeks working hard with AI (I've been told they used a tool called emergent, though I've never heard of it and therefore don't personally vouch for it over alternatives) to build an app to help them manage their business. They created a custom-built system that has immensely streamlined their business (they run a company to help repair tires!) by automating a bunch of tasks, such as: - Ticket creation - Ticket reporting - Push notifications on ticket changes (using a PWA) - Automated pre-screening of issues from photographs using an LLM for baseline input - Semi-automated budgeting (they get the first "draft" from the AI and it's been working) - Deep analytics I didn't personally see this system, so I'm for sure missing a lot of detail. Who saw it was a friend I trust and who called me to relay how amazed they were with it. They saw that it was clearly working as intended. The acquaintance was thinking of turning this into a business on its own and my friend advised them that they likely won't be able to do so, because this is very custom-built software, really tailored to their use case. But for that use case, it's really helped them. In total: ~3 weeks + around 800€ spent to build this tool. Zero coding experience. I don't actually know how much the "gains" are, but I don't doubt they will definitely be worth it. And I'm seeing this trend more and more everywhere I look. People are already starting to use their computer by coding without knowing, it's so obvious this is the direction we're going. This is all compatible with the idea of software engineering existing as a way of building "software with better engineering principles and quality guarantees", as well as still knowing how to code (though I believe this will be less and less relevant). My experience using LLMs in contexts where I care about the quality of the code, as well as personal projects where I barely look at the code (i.e. "vibe coding") is also very clearly showing me that the direction for new software is slowly but surely becoming this one where we don't care so much about the actual code, as long as the requirements are clear, there's a plethora of tests, and LLMs are around to work with it efficiently (i.e. if the following holds -- big if: "as the codebase grows, developing a feature with an LLM is still faster than building it by hand") . It is scary in many ways, but agents will definitely become the medium through which we build software, and, my hot-take here (as others have said too) is that, eventually, the actual code will matter very little -- as long as it works, is workable, and meets requirements. For legacy software, I'm sure it's a different story, but time ticks forward, permanently, all the time. We'll see.

Fully agree. Non-dev solutions are multiplying, but devs also need to get much more productive. I recently asked myself "how many prompts to rebuild Doom on Electron?" Working result on the third one. But, still buggy though. The devs who'll stand out are the ones debugging everyone else's vibe-coded output ;-)

This is me! I’m semi-normie (MechEng with a bit of Matlab now working as a ceo). I spend most of my day in Claude code but outputs are word docs, presentations, excel sheets, research etc. I recently got it to plan a social media campaign and produce a ppt with key messaging and content calendar for the next year, then draft posts in Figma for the first 5 weeks of the campaign and then used a social media aggregator api to download images and schedule in posts. In two hours I had a decent social media campaign planned and scheduled, something that would have taken 3-4 weeks if I had done it myself by hand. I’ve vibe coded an interface to run multiple agents at once that have full access via apis and MCPs. With a daily cron job it goes through my emails and meeting notes, finds tasks, plans execution, executes and then send me a message with a summary of what it has done. Most knowledge work output is delivered as code (e.g. xml in word docs) so it shouldn’t be that that surprising that it can do all this!

Just yesterday my non-technical spouse had to solve a moderately complex scheduling problem at work. She gave the various criteria and constraints to Claude and had a full solution within a few minutes, saving hours of work. It ended up requiring a few hundred lines of Python to implement a scheduling optimization algorithm. She only vaguely knows what Python is, but that didn't matter. She got what she needed. For now she was only able to do that because I set up a modified version of my agentic coding setup on her computer and told her to give it a shot for more complex tasks. It won't be trivial, but I do think there's a big opportunity for whoever can translate the experience we're having with agentic coding to a non-technical audience.

> What are you using today? In my experience LLMs are already pretty good at this. LLMS are good at "find me a two week vacation two months from now"? Or at "do my taxes"? > how to use Cowork. Yes, and I taught my mom how to use Apple Books, and have to re-teach her every time Apple breaks the interface. Ask your non-tech friends what they do with and how they feel about Cowork in a few weeks. > I think where our view differs is I expect that models will be able to get good at making custom interfaces, and then help the user personalize it to their tasks. How many users you see personalizing anything to their task? Why would they want every app to be personalized? There's insane value in consistency across apps and interfaces. How will apps personalize their UIs to every user? By collecting even more copious amounts of user data?

> LLMS are good at "find me a two week vacation two months from now"? Yes? === edit: Just tested it with that exact prompt on Claude. It asked me who I was traveling with, what type of trip and budget (with multiple choice buttons) and gave me a detailed itinerary with links to buy the flights ( https://www.kayak.com/flights/ORD-LIS/2026-06-13/OPO-ORD/202... )

> Or at "do my taxes"? codex did my taxes this year (well it actually implemented a normalization pipeline and a tax computing engine which then did the taxes, but close enough)

of course not. what I believe is that laymen will put all their tax docs into codex and tell it to 'do their taxes' and the tool will decide to implement the calculator, do the taxes and present only the final numbers. the layman won't even know there was a calculator implemented.

If your prompt was more complex than "do my taxes", then this is irrelevant.

it was many hours of working with codex, guidance and comparing to known-good outputs from previous years, but a sufficiently smart model would be able to just do it without any steering; it'd still take hours, but my input wouldn't be necessary. a harness for getting this done probably exists today, gastown perhaps or something that the frontier labs are sitting on.