This kind of stance cannot be made without properly setting the context for the software. It is very clear that different software backgrounds have different needs a different development strategies that are more efficient.
LLMs are a tool that added a new dimension to explore. While I haven't like many felt actual gains, others are finding, and time will allow us to better judge if those can lead to long term impacts in the economy.
Just based on what I've been reading and experiencing:
- Short term POCs can reach validation stage faster.
- Mature cloud software needs a lot of extra tooling (LLMs don't understand the codebase, lack of places to derive good context from, and so on).
- Anything in between for cloud seems to be a hit or miss, where people are mostly trading first iteration time for more refactoring later down the line.
From another perspective, areas of software where things are a lot more about numbers (cpu time, memory consumption, and so on), may benefit a lot from faster development/coding as the validation phase is either shorter or can be executed in parallel.
The key reality here is that I've been observing higher expectations for deliveries without a proof that we actually got better at coding in general. Which means that sacrifices are being made somewhere.
I’ve been having those discussions with friends for the last 3 or 4 years. The downside of having local infra is pretty much having someone that has the experience to do it right. While this article covered the higher end, the math on the lower end tends to work out at 1 year of ownership depending on what you already have because you will probably already have a small rack and some networking gear.
My main concern is that at the current cloud premiums rates, I will be better off even if I need to hire someone specifically for managing the local infra.
I believe that this long game of Swift being "good for everything" but "better for Apple platforms" will be detrimental to the language. This does not help the language nor seems to bring more people to the ecosystem.
Competitors seems to have a combination of:
- Being more open-source
- Have more contributors
- Have a narrower scope
Maybe they should consider open sourcing all the tooling (like Xcode) otherwise the gap will only grow over time when compared to other languages.
LLMs are a tool that added a new dimension to explore. While I haven't like many felt actual gains, others are finding, and time will allow us to better judge if those can lead to long term impacts in the economy.
Just based on what I've been reading and experiencing: - Short term POCs can reach validation stage faster. - Mature cloud software needs a lot of extra tooling (LLMs don't understand the codebase, lack of places to derive good context from, and so on). - Anything in between for cloud seems to be a hit or miss, where people are mostly trading first iteration time for more refactoring later down the line.
From another perspective, areas of software where things are a lot more about numbers (cpu time, memory consumption, and so on), may benefit a lot from faster development/coding as the validation phase is either shorter or can be executed in parallel.
The key reality here is that I've been observing higher expectations for deliveries without a proof that we actually got better at coding in general. Which means that sacrifices are being made somewhere.