The response is as applicable now as it was then. Time will tell.

With all due respect if you are prompting correctly and following approaches such as TDD / extensive testing then correctness is not out the window. That is a misunderstanding likely caused by older versions of these models.

Correctness can be as complete as any other new code, I've used the AI to port algorithms from Python to Rust which I've then tested against math oracles and published examples. Not only can I check my code mathematically but in several instances I've found and fixed subtle bugs upstream. Even in well reviewed code that has been around for many years and is well used. It is simply a tool.

I have been working on a system using a Fjall datastore in Rust. I haven't found any tools that directly integrate with Fjall so even getting insight into what data is there, being able to remove it etc is hard so I have used https://github.com/modelcontextprotocol/rust-sdk to create a thin CRUD MCP. The AI can use this to create fixtures, check if things are working how they should or debug things e.g. if a query is returning incorrect results and I tell the AI it can quickly check to see if it is a datastore issue or a query layer issue.

Another example is I have a simulator that lets me create test entities and exercise my system. The AI with an MCP server is very good at exercising the platform this way. It also lets me interact with it using plain english even when the API surface isn't directly designed for human use: "Create a scenario that lets us exercise the bug we think we have just fixed and prove it is fixed, create other scenarios you think might trigger other bugs or prove our fix is only partial"

One more example is I have an Overmind style task runner that reads a file, starts up every service in a microservice architecture, can restart them, can see their log output, can check if they can communicate with the other services etc. Not dissimilar to how the AI can use Docker but without Docker to get max performance both during compilation and usage.

Last example is using off the shelf MCP for VCS servers like Github or Gitlab. It can look at issues, update descriptions, comment, code review. This is very useful for your own projects but even more useful for other peoples: "Use the MCP tool to see if anyone else is encountering similar bugs to what we just encountered"

Reports and leaks strongly indicate Apple is preparing an M5 Ultra (likely fusing or scaling from the M5 Max using this advanced interconnect tech) for a Mac Studio refresh later in 2026, based on Bloomberg/Mark Gurman and other sources. This would bring back the top-tier "Ultra" option after skipping it entirely for M4.

Hopefully the presence of a laptop like this will be beneficial to software quality. They should make their developers use it one day a week.

They do go on to address code quality but it is more of an after thought with 0 references, less words and appears lower down the page.

The timing is also suspicious, shortly after publication of this report: https://www.reuters.com/business/media-telecom/smartphone-ma... which forecasts declining smartphone sales meaning less devices for this OS to run on.