noodletheworld

9 ms·

61.
by noodletheworld 7mo ago
Come on, you think SwiftUI has more bugs than the ten different Microsoft frameworks? There are just more people encountering them because the developers are concentrated on using one thing . It’s not perfect, but a compared to Microsof
62.
by noodletheworld 7mo ago
> I bring it up not to be pedantic The OP is fundamentally expressing the opinion that single task threads are easier to keep track of. Agree / disagree? Sure. …but dipping into pedantry about terms (swarm, subagent, vine coding, ag
63.
by noodletheworld 7mo ago
> does not imply working on multiple features at one time. How can multiple parallel agents some local and some in the cloud be working on a single task? How can: > All local and cloud agents appear in the sidebar, including the ones
64.
by noodletheworld 7mo ago
uv
65.
by noodletheworld 7mo ago
I really love uv. Its always hard to really trust these corporate funded open source products, but they've honestly been great. …but I find it difficult to believe openai owning the corner stone of the python tooling ecosystem is good
66.
by noodletheworld 7mo ago
Don't try to deflect with pedantry. The system is clearly resolving the users query. Mixing that with the deterministic “play the songs requested instead of random crap” or even “play related classical music instead of random crap” is
67.
by noodletheworld 7mo ago
What a baffling take. There is no confusion as to which “AI” the OP is referring to. The author wrote: > Or does the AI work in so mysterious a way that the programmers need no longer take responsibility? They are pondering, in general,
68.
by noodletheworld 7mo ago
This is confused and misguided. The fundamental proposal here is that despite being bad MCP is the correct choice for Enterprise because: > Organizations need architectures and processes that start to move beyond cowboy, vibe-coding cu
69.
by noodletheworld 8mo ago
MCP is never the right choice. If you want to build an AI app that lets people “do random thing here”, then build an app . Peak MCP is people trying to write a declarative UI as part of the MCP spec (1, I’m not kidding); which is “tldr;
70.
by noodletheworld 8mo ago
> If the models get better, this app will be killer. Any random thing might happen in the future. That doesnt have any bearing on how useful this is right now. All we can do is judge right now how this compares to what it promises.
71.
by noodletheworld 8mo ago
> Qwen3 8B, or even 4B quantized is actually quite good. No, it’s not. Trust me, I don't write this from a position of vague hand waving. Ive tried a lot of self hosted models at a lot of sizes; those small models are not good enoug
72.
by noodletheworld 8mo ago
Nice idea, but isnt this kind of daft? There are basically no useful models that run on phone hardware. > Results vary by model size and quantization. I bet they do. Look, if you cant run models on your desktop, theres no way in hell the
73.
by noodletheworld 8mo ago
? How does any of that let you do QA against the mobile app? > Can usability test in-tandem … > It also walked me through the generation of keys to configure push notifications on iOS. ??? You’re manually doing the testing and setup a
74.
by noodletheworld 8mo ago
> push notifications to my frontend iOS > It all kinda just works. > Can usability test in-tandem. Man, people say this kind of thing, and I go… really? …because I use Claude code, and an iOS MCP server (1) and hot damn I would n
75.
by noodletheworld 8mo ago
How do you respond to the comment that; given the log trace: “Did something 2 times” That may as well not be shown at all in default mode? What useful information is imparted by “Read 4 files”? You have two issues here: 1) making verbose mo
76.
by noodletheworld 9mo ago
> it would send the X-Country header for those blocked countries and it verifies that the feature was not really blocked. There is no reason to presume that the agent would successfully do this. You haven't tried it. You don't
77.
by noodletheworld 9mo ago
> what's much better is having THE AGENT come up with end to end test scenarios There is no difference between an agent writing playwright tests and writing unit tests. End-to-end tests ARE TESTS. You can call them 'scenarios
78.
by noodletheworld 9mo ago
> LLM can very easily verify this by generating its own sample api call and checking the response. This is no different from having an LLM pair where the first does something and the second one reviews it to “make sure no hallucinations”
79.
by noodletheworld 9mo ago
Is it just me, or do skills seem enormously similar to MCP? …including, apparently, the clueless enthusiasm for people to “share” skills. MCP is also perfectly fine when you run your own MCP locally. It’s bad when you install some arbitrary
80.
by noodletheworld 9mo ago
Vibe Engineering. Automatic Programming. “We need to get beyond the arguments of slop vs sophistication..." Everyone seems to want to invent a new word for 'programming with AI' because 'vibe coding' seems to have c
81.
by noodletheworld 9mo ago
...but it didn't develop ways of doing that did it? Any idiot can have cursor run for 2 weeks and produce a pile of crap that doesn't compile. You know the brilliant insight they came out with? > A surprising amount of the syst
82.
by noodletheworld 9mo ago
> Can I run a local LLM that allows me to control Home Assistant with natural language? Some basic stuff like timers, to do/shopping lists etc would be nice etc. No. Get the larger PI recommended by the article. Quote from the artic
83.
by noodletheworld 9mo ago
It is neat, and at 32GB it might be useful. Almost nothing useful runs in 8. This is the problem with this gen of “external AI boards” floating around. 8, 16, even 24 is not really enough to run much useful, and even then (ie. offloading
84.
by noodletheworld 9mo ago
Simon, you're literally fear mongering. You're making wild claims, and absolutely failing to back them up with evidence. That is FUD. People should invest, they should try things. …but its far faaaaaar less clear cut that droppi
85.
by noodletheworld 9mo ago
> I don't think you can just catch up in a few weeks, and I do think that the risk of falling behind isn't being taken seriously enough by much of the developer population. This is nonsense. This field moves so fast the things
86.
by noodletheworld 10mo ago
It might scale. So far, Im not convinced, but lets take a look at fundmentally whats happening and why humans > agents > LLMs. At its heart, programming is a constraint satisfaction problem. The more constraints (requirements, synta
87.
by noodletheworld 10mo ago
No one said anything about lying. Their job is to make the company successful. Part of success is raising funds and boosting share price. That is their job, and how do you imagine they can do that? Sound kind of glum and down about the co
88.
by noodletheworld 10mo ago
> exponential is a constant % improvement per year I suppose of you pick a low enough exponent then the exp graph is flat for a long time and you're right, zero progress is “exponential” if you cherry pick your growth rate to be low
89.
by noodletheworld 10mo ago
> What's the metric? Language model capability at generating text output. The model progress this year has been a lot of: - “We added multimodal” - “We added a lot of non AI tooling” (ie agents) - “We put more compute into inferen
90.
by noodletheworld 10mo ago
I am not making any argument about productivity about using AI vs. not using AI. My point is purely that, compared to 2024 , the quality of the code produced by LLM inference agent systems is better. To say that 2025 was a nothing burger

More ›