ygouzerh

The thing is that it's easy for us senior to spot bugs, because your brain develop a subconscious instinct on finding where bugs might be hiding.

It's however built on years and years of grinding through hands-on experience, that the junior will not have.

I get the analogy of the calculator. The thing however, is that in college, we had dedicated time to learn how to not use it: classes without it, exams without it, etc.

In current job market and pressure, we doesn't have time anymore. You need to be constantly delivering the new jira ticket, and the time expected to perform a task now decreased, as it's expected of the workers that now they are "more productive with AI".

It looks great! I just wished my laptop screen was bigger, sounds better on a quite large monitor

It can be even enforced using hooks/pipelines that will check that the message follow Conventional Commits as well

Mimo V2 Pro seems quite used by people as per OpenRouter's stats (second after Stepfun), it could be interesting to see indeed the difference!

https://openrouter.ai/apps?url=https%3A%2F%2Fopenclaw.ai%2F

That's quite interesting, well done! I haven't thought of this use case for embeddings. It open the door to quite many potential applications!

Actually probably even cheaper, a generic scan to spot all the ships, and when it's done, just need to get images around the last location. Probably can use something like the Planet API

I feel that it differs a lot between companies. It seems like corporate are having less an impact for now, as external innovation needs tailoring to adapt to its needs (e.g a security solution that needs 3 month projects to be tailored to the company tech stack), whereas startups and smaller firms see the most of the impact so far.

I am thinking to fine-tune it to recognize better my handwriting. It already works quite well by default, but my writing is just horrible, so it got trouble sometimes.

It's wild, my Xiaomi phone charger came with 120W two years ago already, Apple seems so behind in comparison.

The main root cause of the incident on their actions was actually due to Azure: https://www.githubstatus.com/incidents/xwn6hjps36ty points to https://azure.status.microsoft/en-us/status/history/?trackin...

It sounds like:

Layoff --> increase short term valuation --> increase value per share --> owner of shares happy during buyback.

After, it's true that having a lot of middle management can slow things down. On the other side, they could have indeed created new entities, new projects, re-qualify employees,...

From the company perspective, performing buyback when market is high is just throwing cash by the windows to over-priced shares. If they wanted to distribute cash, they could just use dividends

It felt indeed that what the paper said is just: "If you are using a tool in order to make hard-work feel more easy... then your brain is not working as much"

I feel the majority of junior job-hopping is due to the fact that they are often hired for really low, and then proposed just an incremental raise after two years. Instead, if they change company, then they got a big jump.

At least, that's what I saw happening here in Hong Kong for juniors I worked with, not sure for other areas.

Thanks, I didn't knew about LiteLLM!

OpenRouter have some interesting providers, like Cerebras, which delivers 2,300 token/s on gpt-oss

The score are really, really close, it might be why

I think the only reason is for legal purpose.

If data is downloaded illegally from space, stored in space and model trained on it... it will be a mess juridically if someone complain.

Same for model inference, it will be hard for a government to put controls on the model output.

It's nice as well for location that are banned to use private US models. Like here in Hong Kong, Google doesn't allow us to subscribe to Gemini Pro. (Same for OpenAI and Claude too actually).

I feel the issue is that now, what would be done by entire teams (networking team, storage team, database team), is now perform by only the same DevOps team.

We have way less time unfortunately to dig into each tech, business is pressing us like lemon on the other side to ship quickly.

It's mostly for AWS context, when you want to host for example your servers in a private subnet, but you want to allow access of small part: you can leverage a NAT Gateway to be the public entrypoint + some security groups as gatekeepers to filter the traffic.

However, the fees from AWS are atrocious on the NAT Gateway.

I am curious: why would you you like to have that? (Genuine question, I am personally so scared about the AI going crazy and putting slop everywhere that I often ask it to focus on a single well defined area first)

Good idea!

I found Gemini have horribly slow for anything

GPT-5 was horrible. It produced AI slop have immense speed, which is quite tough when other coworkers ask to review their PR...

Definetly! I put in the instructions.md file to check if the code is well conform to the latest doc using Context7, works quite well!

Nice, seems way cheaper to use than the new Cloudflare Sandbox SDK solution

If they are spending their time fiddling around disk resizing and package upgrades, it's time they are not spending helping deliver real business features.

This part can be outsourced to a PaaS company, so that the company engineers can be focused on what is the company actually making money from.

Interesting read! It kind of a became a rule nowadays to never store logic in the database nowadays, but it's always refreshing to see when it could work. Please give us an update in few months of how it is going on the long run!

One thing however to note, is that by having a different non-prod and prod environment, it will be possible to test only the application, and not the infra.

Which means, that if they want to test what it will look like running in cloud for prod, they are going to either need a pre-prod environment or go yolo

Yes, everyone forget to compute man-days in the cost calculation