dokdev

I used to think that vibe coding was good for greenfield projects. I was wrong.

If you don't care about the code and all you want to do is just to test your idea, then it is merely a throw-away PoC not a project. And yes, vibe coding is great for that.

However, as harnesses and models got better over the time, agents started working better on existing codebases. Often times, agents discover existing approaches/code style in the codebase and they start coding accordingly.

I realized that in a greenfield project it is important to set the data models and data flow and general structure of the codebase before handing it off to AI blindly. Otherwise it becomes an unmaintainable mess, and you never want to look at that code again.

Is there a full stack vibe coding platform that handles from development to deployment ?

I want to build an AI Agent that discovers all the functionality, data etc on a given website, and build an API/MCP/CLI (not sure about the interaction format yet). Then it will index it and serve it over an API/MCP/CLI.

Let's think of hackernews.com as an example. The agent will check the website and will generate functionalities like:

getTopPosts submitPost upvote

etc.

Then it will save and index this page's functions and serve it over a central api.

GET somedomain.com/hackernews-com/getTopPosts

So the idea is to automatically discover and index web pages and make them ready for AI use. An agent can check if the website is indexed and then use it without needing a browser.

What do you think about it ?

I am currently using cursor cloud to open branches and work on them and then use coolify for preview deployments. But I wonder if there is an existing open source project that does this natively with better ux ?

If you are using openclaw( or any other personal agent ), how are you handling security ? Are you setting up new accounts for email, twitter etc or just giving access to your personal accounts ?

For me I haven’t given it any access to any account, I am only using it to do some daily digests for me from public web.

I feel like I’ve lost my ability to learn because of AI. It is now so easy to generate code that it feels meaningless to focus and spend time crafting it myself. I am deeply sad that we may be losing the craftsmanship side of programming; it feels less important to understand the fundamentals when a model can produce something that works in seconds. AI seems to abstract away the fundamentals.

One could argue that it was always like this. Low-level languages like C abstracted away assembly and CPU architecture. High-level languages abstracted away low-level languages. Frameworks abstracted away some of the fundamentals. Every generation built new abstractions on top of old ones. But there is a big difference with AI. Until now, every abstraction was engineered and deterministic. You could reason about it and trace it. LLMs, on the other hand, are non-deterministic. Therefore, we cannot treat their outputs as just another layer of abstraction.

I am not saying we cannot use them. I am saying we cannot fully trust them. Yet everyone (or maybe just the bubble I am in) pushes the use of AI. For example, I genuinely want to invest time in learning Rust, but at the same time, I am terrified that all the effort and time I spend learning it will become obsolete in the future. And the reason it might become obsolete may not be because the models are perfect and always produce high-quality code; it might simply be because, as an industry, we will accept “good enough” and stop pushing for high quality. As of now, models can already generate code with good-enough quality.

Is it only me, or does it feel like there are half-baked features everywhere now? Every product ships faster, but with rough edges. Recently, I saw Claude Code using 10 GiB of RAM. It is simply a TUI app.

Don’t get me wrong, I also use AI a lot. I like that we can try out different things so easily.

As a developer, I am confused and overwhelmed, and I want to hear what other developers think.