I understand this post comes from the PoV of a developer, but the key point is:
>Maybe this setup is faster compared to the old way of working. But I also think it’s an unfair comparison. Working like this requires a much deeper involvement of domain and product experts. This involvement would mean writing out every feature and bug fix down to the tiniest detail.
The game-changer here with AI in software development is that now the Subject Matter Experts (SMEs) can directly guide AI (Claude Code, Cursor, Codex...etc) to translate the vision into code, review and iterate.
Yes, you are removing the developer from this step of the process, at least to build the MVP version of the service/backend/frontend.
By doing this,the process goes faster, as AI codes faster and the iteration with the SME goes way faster as well since there is no handover; you also lower the "quality attrition" of the process handover (in this case expert to developer), since the expert will explain the function to an AI that also has the deep knowledge in the expert field.
Obviously developers still are needed for the refactoring/hardening/compliance of that vibe-coded solution with corporate architectural/security guidelines, but soon enough those things will be done by AI too.
We are seeing this happening right now at all the big companies who are having a gigantic wave of employees (tech AND business) using Cursor, Claude Code and Codex.
So the skills will need to change and SMEs and developers will probably merge into one person that will have deep domain expertise, some systems and architecture knowledge to work more effectively with AI.
Of course this new reality will bring a lot of challenges. Like the software governance issue that some companies (e.g. Amazon) having problems with the huge proliferation of vibe coded solutions that overlap with each other (probably with different outputs) and create confusion in the business...
Your point is similar to the post in a sense that all abstractions are deterministic, so you could go connect the higher layer directly to the lower layer, while in LLMs, by their very probabilistic/black box nature you can’t have this direct link.
But isn’t this just a semantics discussion? Is there a rule for abstraction in CS that says it needs to be deterministic (I really don’t know)?
I believe deterministic abstraction to natural language is impossible to reach by the very ambiguous nature of it, we get misunderstandings when we talk to each other so naturally when talking to a machine it would need to be probabilistic to understand how to translate it to code.
Ok, so I am not the only one looking at google maps (also to Santa Helena) and imagining how it is to live there.
Must be some kind of introspective hobby to fantasize about living on remote islands.
Somewhat related but I always wondered if I asked a LLM to create a new language with full focus on LLM coding efficiency, ignoring the need for humans to read it, what would it come with? Binary?
...and I obviously asked Gemini about it and it replied:
"A language optimized exclusively for Large Language Model (LLM) efficiency would prioritize Token Density, Context Window Management, and Architectural Alignment. It would not be binary, as standard LLM architectures (Transformers) process discrete tokens from a predefined vocabulary, not raw bits."
Exactly. Psychosis (and other mental illnesses) will find something to attach itself to.
The opportunity here is for Google and other LLMs to include safeguards (and be very clear about them) and processes to direct the user, or, in extreme cases, direct health services to avoid a tragedy like this.
Some time ago I configured Photostructure on my Synology (with the amazing help of the author, @mceachen) and the most paindful part was rescuing my 1.5TB of photos from Google Photos.
Takeout was very cumbersome to use and download 100+ files of 4gb, so ultimately resorted to paying a higher tier at Google Drive, using takeout Google Drive option and the sync to the NAS.
I still don’t have a good method to keep everything in sync as Google Photos does not offer a viable option for a cloud-to-premises sync.
This makes more sense. I hate when people talk about taxing the “net worth” of some rich guy when a good part of that net worth is locked into invested companies who are (hopefully) being taxed already.
The borrow scheme should be the thing being taxed really, because is a shadow realization of profit (they are borrowing against the current value of their assets)
This won't be a problem when Apple migrate all macs to OLED as blacks will be true black (no light).
I have a Samsung SD95 that has a glare free chemical coating and it is amazing on rooms with too much light with no greyish black on low light conditions (at least from my personal experience).
Not necessarily as gemini might take other variables in consideration.
But it certainly will make a lot of intermediaries (between brands and consumers) suffer. This is a huge threat for Amazon.
Well onedrive is nothing more than sharepoint disguised as a cloud drive. So they adapted a legacy pre-cloud era code to create a competitor to dropbox and google drive. Imagibe how well that code works…
Yeah this has nothing to do with playing RPG, just a generation of screens.
But it reminded one of the firsts prompts I tried with ChatGPT back in 2022. I asked him to simulate a text-based adventure (based on the discworld universe) and every command I gave it would behave as an open world text RPG. It was pretty mindblowing
Hans Zimmer is my soundtrack of choice for focus (Dune 2 is specially good). Found out that a colleague also had the same taste which was surprising for me, now I imagine it is a common use case for his music.