Readit NewsThen, as part of the session, you would artificially introduce a bug into the system, then run into the bug in your browser. You'd see the failure happen in browser, and looking at Cloudwatch logs you'd see the error get logged.
Two minutes later, the SRE agents had the bug fixed and ready to be merged.
"understand how these systems actually function" isn't incompatible with "I didn't write most of this code". Unless you are only ever a single engineer, your career is filled with "I need to debug code I didn't write". What we have seen over the past few months is a gigantic leap in output quality, such that re-prompting happens less and less. Additionally, "after you've written this, document the logic within this markdown file" is extremely useful for your own reference and for future LLM sessions.
AWS is making a huge, huge bet on this being the future of software engineering, and even though they have their weird AWS-ish lock-in for some of the LLM-adjacent practices, it is an extremely compelling vision, and as these nondeterministic tools get more deterministic supporting functions to help their work, the quality is going to approach and probably exceed human coding quality.
Except now you have code you didn‘t write and patches you din‘t write either. Your „colleague“ also has no long term memory.
You can build things this way, and they may work for a time, but you don't know what you don't know (and experience teaches you that you only find most stuff by building/struggling; not sipping a soda while the AI blurts out potentially secure/stable code).
The hubris around AI is going to be hard to watch unwind. What the moment is I can't predict (nor do I care to), but there will be a shift when all of these vibe code only folks get cooked in a way that's closer to existential than benign.
Good time to be in business if you can see through the bs and understand how these systems actually function (hint: you won't have much competition soon as most people won't care until it's too late and will "price themselves out of the market").
Everybody thinks somebody else should help, so nobody does.
This is no longer true. Rust, Zig and likely others satisfy this requirements.
> Safe languages usually want to abort if they encounter an out-of-memory (OOM) situation. SQLite is designed to recover gracefully from an OOM. It is unclear how this could be accomplished in the current crop of safe languages.
This is a major annoyance in the rust stdlib. Too many interfaces can panic (and not just in case of an OOM), and some of them don’t even document this.
1) "interop with C" is part of the fundamental requirements specification for any code running in the Linux kernel. If Rust can't handle that safely (not Rust "safe", but safely), it isn't appropriate for the job.
2) I believe the problem was related to the fact that Rust can't implement a doubly-linked list in safe code. This is a fundamental limitation, and again is an issue when the fundamental requirement for the task is to interface to data structures implemented as doubly-linked lists.
No matter how good a language is, if it doesn't have support for floating point types, it's not a good language for implementing math libraries. For most applications, the inability to safely express doubly-linked lists and difficulty in interfacing with C aren't fundamental problems - just don't use doubly-linked lists or interface with C code. (well, you still have to call system libraries, but these are slow-moving APIs that can be wrapped by Rust experts) For this particular example, however, C interop and doubly-linked lists are fundamental parts of the problem to be solved by the code.
LLMs were a breakthrough I didn't expect and it's likely the last one we'll see in our lifetime.