Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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No way this works on a free tier.
Brian N. yeah... Even pro users have to buy credits at some point. Got their mail on alot of changes for pro users. Nevertheless, it's worth it.
Can't wait to hear Claude vs Anti-gravity 2.0 experience.
This "powerfull free tier" is just one prompt and wait 5-7days. How I know? Few days ago I managed to make this one prompt on account, and it was awesome, solve the case, implemented the feature (standalone electron app) and hit the token limits before even rebuilding the app. Great tool, but I would argue the free tier is even usable. Half a year a go, I could build entire web app in Google AI Studio using their Gemini 3.1, and it was a matter of not having more time to spend, and I reached limit just once.
Muhammad Hassan Thanks for sharing your thoughts. It was actually the first thought that came to my mind - the resource capacity to scale up will make a difference in enterprise-level consumption. Maybe they serve different markets?
HsuanHua Chang 張絢華, MBA, MSCS, PCC That is a fair point. It feels like they are currently serving different segments. Anthropic is capturing the high-end reasoning demand, and Google is capturing the high-volume, cost-sensitive integration market.The question is whether those markets stay separated. As agentic workflows mature, the specialized tasks that Anthropic currently dominates will likely become high-volume tasks. When that shift happens, the bottleneck for everyone, even the specialized agents, will inevitably come back to the unit economics of compute. I am curious to see if Anthropic can maintain its premium positioning once the general-purpose models like Gemini get good enough to handle those complex tasks at a fraction of the cost.
REBECCA EBIANGA Here I was getting excited about Perplexity Computer. Anti-gravity seems cool but I'm not sure I have much of a use case for it myself
Looking forward to try this, thanks for sharing 👍
Though the approach is great but if you follow the reviews, antigravity 2.0 is quite the disaster both in terms of quality and pricing. It’s really hard to digest the company which is on the frontlines of software engineering talent can’t make a half decent coding product. Even the Gemini 3.5 flash is sub par. Google’s search strength is unmatched which will serve most consumers or users who mostly prompt once, but it will lose users who are into chain of thought searches as they will find ChatGPT and Claude way superior. I’m really rooting for Google though as they have the talent and the control over the full supply chain of ai to provide quality at really competitive prices.
It didn't. No access to opus 4.7. awful throttle limits. Gemini flash is sub-par. Had big hopes for this product and Gemini.
What's the cover charge for this Brave New World?
It's garbage and slow.
They reduced the limits. It sucks to use Antigravity. Unless something ch anged recently.
its all kinda policy like make them dependent on a tool , after some time charge heavily
I am still not able to understand why everyone is highlighting you can run AI company in your laptop...are we solving business problem with the help of technology or creating more problems for business...😊
Since I am not a Software professional but a Medical professional can’t comment on the technical side but conceptually the conversion of the standard laptop into a high end developer tool ( and perhaps more so with the new “ hybrid “ chips available and in the pipeline which allow Small Language models to run effectively ) is truly a landmark 👍
Claude code still the better one.
93 agents? Insanity
Horrendous usage limits - especially disappointing because they own the infrastructure...by comparison Nvidia’s NIM api is essentially free. Pair that with a harness like OpenWork/OpenCode. OpenCode actually now offers models like DeepSeek V4 Flash on a generous free tier plus a decent plan at $10/month:
Nah, it's nowhere near Claude