How else would they train the LLM PR reviewers to their standards?

I've never personally been in the position, because my entire career has been in startups, but I've had many friends be in the unenviable position of training their replacements. Here's the thing though, at least they knew they were training their replacements. We could be looking at a potential future where an employee or contractor doesn't realize s/he is actually just hired to generate training data for an LLM to replace them, and then be cut.

Maybe I need a bot to do this for me...

That's been their job ever since cable news was invented.

>He asked staff to attend the meeting, which is normally optional.

Is that false? It also discusses a new policy:

>Junior and mid-level engineers will now require more senior engineers to sign off any AI-assisted changes, Treadwell added.

Is that inaccurate? It is good context that this is a regularly scheduled meeting. But, regularly scheduled meetings can have newsworthy things happen at them.

Items weren't displaying prices and it was impossible to add anything to your cart. It lasted from about 2pm to 5pm.

It's especially strange because if a computer glitch brought down a large retail competitor like Walmart I probably would have seen something even though their sales volume is lower.

Are you completely missing the point of the submission? It's not about "Amazon has a mandatory weekly meeting" but about the contents of that specific meeting, about AI-assisted tooling leading to "trends of incidents", having a "large blast radius" and "best practices and safeguards are not yet fully established".

No one cares how often the meeting in general is held, or if it's mandatory or not.

Essentially something big has to happen that affects the revenue/trust of a large provider of goods, stemming from LLM-use.

They wont go away entirely. But this idea that they can displace engineers at a high-rate will.

That has always been my feeling. Once I really understand what I need to implement, the code is the easy part. Sure it takes some time, but it's not the majority. And for me, actually writing the code will often trigger some additional insight or awareness of edge cases that I hadn't considered.

If AI is a productivity boost and juniors are going to generate 10x the PRs, do you need 10x the seniors (expensive) or 1/10th the juniors (cost save).

A reminder that in many situations, pure code velocity was never the limiting factor.

Re: idiot prooofing I think this is a natural evolution as companies get larger they try to limit their downside & manage for the median rather than having a growth mindset in hiring/firing/performance.

Unchecked, AI models output code that is as buggy as it is inefficient. In smaller green field contexts, it's not so bad, but in a large code base, it's performs much worse as it will not have access to the bigger picture.

In my experience, you should be spending something like 5-15X the time the model takes to implement a feature on reviewing and making it fix its errors and inefficiencies. If you do that (with an expert's eye), the changes will usually have a high quality and will be correct and good.

If you do not do that due dilligence, the model will produce a staggering amount of low quality code, at a rate that is probably something like 100x what a human could output in a similar timespan. Unchecked, it's like having a small army of the most eager junior devs you can find going completely fucking ape in the codebase.

I hear “x tool doesn’t really work well” and then I immediately ask: “does someone know how to use it well?” The answer “yes” is infrequent. Even a yes is often a maybe.

The problem is pervasive in my world (insurance). Number-producing features need to work in a UX and product sense but also produce the right numbers, and within range of expectations. Just checking the UX does what it’s supposed to do is one job, and checking the numbers an entirely separate task.

I don’t many folks that do both well.

So you're saying that peer reviews are a waste of time and only idiots would use/propose them?

Maybe I don't have the correct mental model for how the typical junior engineer thinks though. I never wanted to bug senior people and make demands on their time if I could help it.

It's actually often harder to fix something sloppy than to write it from scratch. To fix it, you need to hold in your head both the original, the new solution, and calculate the difference, which can be very confusing. The original solution can also anchor your thinking to some approach to the problem, which you wouldn't have if you solve it from scratch.

The more expensive and less sexy option is to actually make testing easier (both programmatically and manually), write more tests and more levels of tests, and spend time reducing code complexity. The problem, I think, is people don't get promoted for preventing issues.

I’m probably not going to review a random website built by someone except for usability, requirements and security.

Whether or not these productivity gains are realized is another question, but spreadsheet based decision makers are going to try.

I would actually say having at least 2 people on any given work item should probably be the norm at Amazon's size if you also want to churn through people as Amazon does and also want quality.

Doing code reviews are not as highly valued in terms of incentives to the employees and it blocks them working on things they would get more compensation for.

1. They can assess whether the use of AI is appropriate without looking in detail. E.g. if the AI changed 1000 lines of code to fix a minor bug, or changed code that is essential for security.

2. To discourage AI use, because of the added friction.

/s

So now, you can speed up using Claude Code and use Code Review to keep it in check.

Haven't tried Kiro CLI.

It sounds like a piss poor deal for seniors unless senior engineer now means professional code reviewer.

I'd prefer people wrote good quality code and checked it as they went along... whilst allowing room for other stuff they didn't think of to come to the front. The production process of using LLMs is entirely different, in its current state I don't see the net benefit.

E.g. if you have a very crystalised vision of what you want, why would I want an engineer to use an LLM to write it, when the LLM can't do both raw production and review? Could this change? Sure. But there's no benefit for me personally to shift toward working that way now - I'd rather it came into existence first before I expose myself to incremental risk that affects business operations. I want a comprehensive solution.