codespan VS Yacy

Having good error messages is one of the important priorities for me in my compiler, so I made the commitment early and am using codespan[0] to report the errors, which is going well so far.

0: https://github.com/brendanzab/codespan

There's https://github.com/brendanzab/codespan as well, and a number linked from their pages.

Working in a GENERAL relational language (ie: not just a query one, like SQL, but general to make full apps, like python/delphi/c# + linq):

https://tablam.org

that is my attempt to resurrect the spirit of the FoxPro/dbase kind of tools.

Is on Rust, and is also my way to sharp my skills on it.

Now, I'm in the process of improve the parsing to be robust like in Rust, so i can show good error messages:

https://github.com/brendanzab/codespan

and also, hopefully, implement a solid type inference that work fine with the challenge of infer joins like "customer CROSS JOIN address".

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The idea, long-term, is create a tool alike MS Access/FoxPro+Excel that I think could be great for a lot of companies (that are using stuff like "BigData" tools -like hadoop- when them are struggling with more fundamental issues!) and improve the condition of make business apps/analysis.

I already hear some interest when the vision is described in full, and I certain any company that use Excel/Access to deal with data and/or make business apps is anemically served by it.

The alternatives now are only for the cloud, and I instead wanna a local-first/on-premise offering...

Nice error messages (for YOUR lang) https://github.com/brendanzab/codespan or https://docs.rs/ariadne/0.1.3/ariadne/

It turns out you can make it all the way to become president of Harvard [1] while ignoring this rule so it is questionable whether it is as set in stone as you make it out to be, at least in certain disciplines.

In a way these models are a perfect mirror of the current academic climate. They plagiarise without remorse, they follow the latest identity-politics diktat to a point and make up 'facts' when needed to reach a desired narrative. Google Gemini is the latest example [2] of where this leads.

Given that it is plausible that models like these will soon be used in educational settings this is a recipe for disaster. The same goes for the trend to replace search engine results with 'interpreted' results in which LLMs take up the same role as Winston in 1984: Winston works in the Ministry of Truth where he alters historical records to fit the needs of the Party.

It is time for a decentralised distributed search engine which limits itself to pure search, something like YaCy [3]. Something to replace Winstonian search engines like Google and Bing (et al.).

[1] https://www.campusreform.org/article/claudine-gay-is-a-dei-h...

[2] https://news.ycombinator.com/item?id=39465255

[3] https://yacy.net/

> Now I just need some kind of open source search engine to run on it ...

Here you go: https://yacy.net

I remember https://yacy.net/ but the big problem of this project was java and had not implementations in others languages. I mean it as imagine torrent was only in perl.

Admarus is similar as Yacy but aims to be distributed where Yacy is federated. Both are made for the web

You should check out https://yacy.net: a global, P2P web search engine, where each peer can build and share its own index, etc.

I also have an instance of Yacy installed, which I use to index the entire system, giving me my own private, internal search engine.