chainlink VS go

Chainlink (LINK) – The Blockchain Oracle Giant

Chainlink allows smart contract developers to receive a wide variety of off-chain data, with the most commonly used features being receiving off-chain randomness and off-chain pricing data. Integrating your smart contracts with Chainlink provides a unique set of potential security vulnerabilities that attackers can exploit; here are the common vulnerabilities that smart contract developers & auditors need to look out for.

In some way, I'd also put Chainlink in that category since they allow to access open world data on-chain and making dapps more relevant as a result.

Smart contracts have revolutionized various industries by enabling the automation of agreements and transactions in a secure and decentralized manner. However, for smart contracts to reach their full potential, they need access to real-world data and external systems. This is where Chainlink comes into play.

I would suggest the use of an oracle like chainlink. Link: https://chain.link - I don't know exactly what your specific requirements are since I cannot review your code but a thirdparty oracle sounds like it could offer you at least some direction.

🥁 Introducing Co:OPERATE @ EthCC by Celo with Co:HOST Chainlink!

Etherisc has built a platform (Generic Insurance Framework) for decentralized insurance applications. We use blockchain technology to help make the purchase and sale of insurance more efficient, enable lower operational costs, provide greater transparency into the industry and democratize access to reinsurance. We’ve been around since 2016, have many high-profile collaborators (including Chainlink) and are proud of the innovative applications of the parametric insurance products built on our platform, including travel delay, crop and carbon credit protection.

As well as feeding real-world data to smart contracts, oracles can be used to monitor other blockchains and pass information about them between networks. Chainlink has made progress in this direction, with their Cross-Chain Interoperability Protocol (CCIP). This enables the creation of multi-chain apps. The protocol is maintained by a decentralized network of nodes. However, this is unlikely to be as secure as the chains between which messages are being sent.

Chainlink is not a blockchain - it's a "heterogeneous network", i.e. an open-source protocol for building oracle networks. Chainlink is 'blockchain-agnostic', aimed at connecting any chain to any API/external system and supporting interoperability between chains. Besides ETH, it has existing or planned integrations with: ONE, ADA, XTZ, MATIC, HBAR, DOT, BSC, ATOM, LUNA, etc.

There used to be the GO FIPS branch :

https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...

But it looks dead.

And it looks like https://github.com/golang-fips/go as well.

I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:

- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644

- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412

Here are some excerpts from the latest Go survey [1]:

- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."

- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."

I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.

[1]: https://go.dev/blog/survey2024-h1-results

Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.

Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!

net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements

Make sure you have Go installed https://go.dev/.

The Go Programming Language

When Go first shipped, it was already well-documented that the only stable ABI on some platforms was via dynamic libraries (such as libc) provided by said platforms. Go knowingly and deliberately ignored this on the assumption that they can get away with it. And then this happened:

https://github.com/golang/go/issues/16606

If that's not "getting burned", I don't know what is. "Trying to provide a nice feature" is an excuse, and it can be argued that it is a valid one, but nevertheless they knew that they were using an unstable ABI that could be pulled out from under them at any moment, and decided that it's worth the risk. I don't see what that has to do with "not being as broadly compatible as they had hoped", since it was all known well in advance.