boundless88

This space is probably much harder than you think. While enterprise AI adoption is an inevitable trend, and the demand for data sensitivity and privacy protection is very real, deeply integrating AI with actual enterprise business data comes with a massive number of hurdles.

Take the phenomenon of "Shadow AI," for instance: 1. When AI tools are used across different departments, how do you prevent sensitive data from leaking? 2. With departments adopting all sorts of disparate tools, how do you actually achieve centralized governance and control?

Although Microsoft has rolled out an AI governance framework, I think practical implementation remains an uphill battle. Their approach isn't hard to grasp—it essentially boils down to logging activities before and after an Agent executes tasks to enable traceability, but that doesn't solve the core problem.

So, if you want to build a product in this space, I believe it's going to be extremely difficult unless you can come up with a genuinely new approach that truly resolves these pain points.

Is https://www.promptfoo.dev/ actually useful to you?

Otherwise, jumping back and forth while you're reading the code is a real pain.

About thirteen years ago

If you're using AI to write code, IDE features don't really seem that important anymore.

Does ST support opening a repo on a remote server? The last time I used it was back in my freshman year of college, and I haven't touched it since. Does anyone happen to know?

The most important feature of Obsidian is how its plugin system is designed. I just had a look, and your mainnet design is still pretty rudimentary right now, but maybe that's just because the project is in its very early stages.

I think if you don't mind, you should post your handle so people can see what you actually did. I use X too, but I almost never run into their algorithm's limits.

That sounds like a really great idea. Would you be open to sharing more about how the tool is designed? Are there any open-source or commercial tools like that out there right now?

When will GitHub Copilot support integrating custom models?

Alice, Bob, and Charlie .....

There are some product recommendation websites, Twitter, or Reddit forums. Plus, it takes time for people to find out about it - you need to keep showing up on various platforms.

Continuously and deeply reading and understanding high-quality open-source code repositories - these resources are easy to find, but they require patience. With the help of LLMs, this process will be much easier than before.

Wow, you can plan a week's worth of dinners in just two hours! What kind of food do you usually make?

I think that's really cool. I wonder when this started development?

I've had similar thoughts before, and I've seen some frameworks used to assign different tasks to various agents so they can work together to complete a job. But let me be honest, with the improvement in model capabilities and the increasing cost of maintaining these frameworks, there's less and less room left for such tools to survive. The best solution might be to use a single agent and train its preferences over time.

What is Vista?

What coding agents are supported right now?

Our company also requires everyone to use more AI-related tools, and I don't think there's anything wrong with that. But the quality of work produced using these tools really depends on the individual's ability. Some people don't put in much effort, and the results they produce are really sloppy, which bothers me a lot.

Agent payment will be an important development direction for crypto in the future. Compared to traditional fiat payments, digital currencies have some inherent advantages.

I share your concerns - I'm worried that my software development skills will become completely worthless in the future. What I'm thinking right now is that I need to spend more time on product experience and interpersonal communication. These soft skills won't be replaced by AI anytime soon. The barrier to getting into software development is pretty low nowadays, so you don't need to learn theoretical stuff like computer principles or compiler fundamentals like kids who come from traditional computer science backgrounds. So relying solely on software development skills won't lead to much success in the long run. You need some soft skills, like being proficient in a certain business domain or having a higher level of software aesthetic.

I'm really curious, if you use open-source tools like Codex. And you actually go through the source code carefully to make sure there are no backdoors, doesn't that mean you can use it without worrying about your data getting leaked—at least to some degree?

I’ve had the same issue too. What I finally found is that the most elegant solution is to stop editing the same note across multiple clients.

In fact, there are quite a few places that can do this. In the city where I live, Shanghai, China, the security is very good and the per capita income is quite high. You can just walk into any coffee shop in the city, leave your laptop there, and then leave to do something else, and it won't be lost, I've tried it countless times.

This idea is really innovative and interesting.

Absolutely not! I want to create a health knowledge project or wiki that readers can learn from each time they visit, rather than an advertisement wiki.

This is really awesome!

Do you ever find the 12-inch screen too small, especially when reviewing code?

https://us.v2ex.com/ This is the HN of China.

Are you always busy? How do you manage tasks like writing documents, attending meetings, or learning new things?