Like many developers, I use AI to help me debug errors in production. I still run into huge log files that don't fit into the now large context windows of foundation models. I found myself going through those files to find the most relevant information and hand crafting what to paste in when asking the model what went wrong. Even new tools like Roo Code often error out and simplify too much when running their condenser tools. I created this to see if others find this tool useful and looking for feedback how to improve it.
In response to how over complex I saw the langchain and autogpt code was, I made my own implementation that starts with a solid foundation to doing similar types of things https://youtu.be/KN_etwBLej8 and I share the code if you want to do the same
Listen to yourselves in your echo chamber of the left try to justify this. Q-tards and Antifa stormed the capital. The people you so righteously call racist and seditious are not and did nothing of the sort. What Antifa and a few Q-tards did on Jan. 6 doesn't discredit the fact the establishment politicians and our corporate overlords have sold out to China and don't want to be held accountable and would prefer to follow their script to divert attention to the bad orange man's behavior. When Antifa burns multiple cities to the ground they're the good guys but Schumer supposedly "survived pearl harbor" because patriots had their own movement and are trying to remind the actual corrupt politicians they work for us and not the globalists and China trying to keep us all locked down forever, fighting one another.
I wish you had made this as a top level comment. This should be at the top, not the pro wealth tax comment. Like you said, the net always gets wider and wider.
Oh he's so brave demanding censorship for the masses. President Trump speaks for those that have lost their voice in the chicomm and leftist controlled media and big tech. As he says himself, big tech censors those that dare speak the truth.
I don't care, let the downvoting and misguided leftist justice ensue on my hacker news account. After all, you must censor my speech any way you can.
Libertarian leaning myself, sad to say, this is the first time I am now in full realization that monopolies do in fact exist and are very dangerous. Platforms like Youtube are beyond ubiquitous and we all depend on them. The companies behind them have more money than countries. That, combined with the tax free private foundations their founders nearly all have, is taking us down some very bad roads. Of course, those roads are always paved with the best intentions and for our own good. I think it is well past time government step in and limit the power and control mega corporations flex on their platforms and on our public policy in nearly all matters.
Question for any Amazon folks here that may know. Is this akin to something like Atomic or CoreOS that is used within Openshift as the Master or Worker node OS or is this more like the UBI (Universal Base Image) that can be used as the base image of a container via "FROM" within a dockerfile?
I am a solutions architect at Red Hat but I came from being an application architect. I recently gave a talk on cqrs and event sourcing at a midwest user group. I am routinely surprised how few "DevOps" engineers care to grasp application architecture yet want to start dabbling in things like Kubernetes. Automation using Ansible, yes, no problems there. Creating microservice architectures using containers and kubernetes tooling is yet a ways out for many. New tooling is absolutely necessary to implement the things we have all been talking about for at least 10 years. Developers can no longer just care about writing code. They have to think about how to manage breaking up their monolith, not just for performance; that's not typically the driving force behind adopting microservice architectures. It's about improving lead time and reducing the batch size of releases. You can't have microservice architectures without both sides(dev and ops) understanding what each actually do. I have first hand knowledge how difficult it still is to break those silos down. Developers, if you still think writing code is the hard part; well, I've got news for you. Ok, writing good code is still hard but there's a lot more to think about to get the most out of that code when it goes to production. As a starting point to answer "why do any of this?" I recommend the book "Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations".
I opened a service ticket. My ec2 instances have somehow been running for over 950 hours in one month. I can go back and see my instances run for 744 hours (what i'd expect in a month) in previous months. Amazon invented more hours than actually exist in a month for billing purposes. Bezos is a genius! I should have thought of that!
This article says more to me that the author(s) are inexperienced themselves rather than shed any light on the practice of software development. I'm imagining some recent boot camp graduates attempting to conflate their months of programming experience into something more than that. "Hey old dudes in company I just joined, I found some things I think are basic so I'm going to write an article to indirectly shame you in hopes our manager will see how valuable I am already." They know something isn't quite impressive about their older co-workers but this list isn't it and the authors don't even come close to being experienced enough to put a box around it and be thought leaders of any kind.