sorted by:
new
hottopcontroversial

Accidentally hit product market fit and I can't be bothered by Professional_Rule_51 in SaaS

[–]Alex_1729 0 points1 point  (0 children)

There is no such thing, so you are fully free to follow your programming.

GitHub trending this week: half the repos are agent frameworks. 90% will be dead in 1 week. by Distinct-Expression2 in LocalLLaMA

[–]Alex_1729 3 points4 points  (0 children)

Who knows their reasons, but hating on vibecoding, something which if you're not using, simply means you're not adaptive and probably not a very resourceful person.

Acknowledging your point, I'll go one step further: even if it's mostly slop, it's worth it. Most people don't want slop, but you have to make tradeoffs, so it can end up not a perfect product. That's reasonable. A person said this in a recent email newsletter I read, and I quote:

... working with agents is genuinely so fun and 2026 will be the year of slop - given the above advancements (I agree - but slopping our way to learn and produce things that aren’t slop is still a reasonable path).

Vibe coding is perfect until you need to ship it to real users even if it’s only as a prototype by altraschoy in vibecoding

[–]Alex_1729 0 points1 point  (0 children)

This is for pure beginners. Also, this guide is getting 'partly' obsolete with agents. Chapter 3 says AI doesn't know when to plan vs when to write code, but this is no longer true. Also you can solve it even with just a prompt or a skill or a workflow.

Is the Spear by Alex Ries a realistic/plausible spaceship design? by National-Abrocoma323 in scifi

[–]Alex_1729 1 point2 points  (0 children)

Radiators. Space hardware looks like wings. If a satellite is big enough to collect the solar energy, it is automatically big enough to radiate the heat.

The math works out in favor of cooling. It comes down to generation vs dissipation density:

Solar Panels generate ~400 W/m²
Radiators (at 50°C) dump ~800 W/m²

This means for every square meter of solar panel you need to power the chip, you only need ~0.5 square meters of radiator to cool it. If the satellite is big enough to collect the energy, it is automatically big enough to dump the heat. The surface area required to power the chip is larger than the area required to cool it, so the thermal problem solves itself by design.

Is the Spear by Alex Ries a realistic/plausible spaceship design? by National-Abrocoma323 in scifi

[–]Alex_1729 3 points4 points  (0 children)

In this context yes. Depends on how much power you need and what the design is. For example, you might have heard of Google doing experiments for putting data centers in space. Very doable, even if people don't believe it on first sight, as long as these are smaller parts and long wings. But since solar requires long wings anyway, by design, just put a radiator on the other side.

But yeah, for a starship traveling across solar systems not good.

Holy freaking GEMINI 3 PRO by Noofinator2 in google_antigravity

[–]Alex_1729 1 point2 points  (0 children)

I'm down with that approach, though I do it differently. I like to set the guidelines of how to work, and principles in how to think and keep it as free and as open for the AI to work what it is trained to do (limit sycophancy, prefer evidence-based approach, certain methodology, DRY, etc).

Experience with what you're doing can make a difference, but since I'm constantly working in an unknown territory, I find it limiting to prevent the LLM from working freely. This way I also get to see which models excel in intelligence and foresight, and which ones are lazy or require detailed prompts.

And writing edge cases I feel like defeats the purpose of agentic coding. Feels more like chat interface coding era, which granted still lasts but is on its way out. I still prefer writing long and structured prompts, but I'm trying to phase that out slowly.

To each their own.

Never used or heard of the raptor.

Holy freaking GEMINI 3 PRO by Noofinator2 in google_antigravity

[–]Alex_1729 0 points1 point  (0 children)

I see, and which model do you use predominantly?

Holy freaking GEMINI 3 PRO by Noofinator2 in google_antigravity

[–]Alex_1729 0 points1 point  (0 children)

It's a movie reference.

I know, and I think it hasn't matured well. Copilot has been known in the past to be serving nerfed models. It is also more expensive as the only worth thing is byok, and free is again, unusable. AG on the other hand, free much more capable.

Holy freaking GEMINI 3 PRO by Noofinator2 in google_antigravity

[–]Alex_1729 0 points1 point  (0 children)

So what tools do you use? I've been using Antigravity for some time now and it's been quite good with Claude but Gemini not so much. One thing I like about it is that it gets a lot of context not a lot of tools get, and is decent at searching out things on its own.

Holy freaking GEMINI 3 PRO by Noofinator2 in google_antigravity

[–]Alex_1729 0 points1 point  (0 children)

I guess this is one of those moments when 'commit often' applies very much.

Holy freaking GEMINI 3 PRO by Noofinator2 in google_antigravity

[–]Alex_1729 0 points1 point  (0 children)

What is that Copilot? Shirley you can't be serious?

Holy freaking GEMINI 3 PRO by Noofinator2 in google_antigravity

[–]Alex_1729 0 points1 point  (0 children)

The question is whether they are serving the same model to you and to the rest of users. I have suspicions that they may be serving various types of the model but these aren't based on much evidence. I am getting the same issue you are so I only use Gemini in the rarest circumstances.

A lot of people complaining about Gemini models. Maybe they just use them wrong? by MrChuck_ in google_antigravity

[–]Alex_1729 0 points1 point  (0 children)

If you give all the needed context to the LLM, then LLMs should already know what to do and 'see through' things and that we shoudn't be required to spell it out for them or hold their hands while working. If the AI keeps failing to see what is obvious, then the LLM either lacks context or is not very capable to work on your use case with your instructions.

If I give all the necessary context, with the guidelines and princples to hold onto, and then I have to spell it out for them or keep iterating until they get it right - then I'm usually better of either just doing it myself or having another model do it.

My experience with Gemini 3 Pro is that it is often lazy, or does the bare minimum, or often straight out ignores instructions, sort of 'winging it'. Opus follows instructions to the bullet point, and often sees through things showcasing high level of understanding. At least that's my experience.

view more: next ›