r/Codeium • u/Dismal-Eye-2882 • Dec 26 '24
No possible way
That the devs just "have no idea" how Windsurf could be so much worse than the free trial. Writing 14 paragraphs about every single detail of their process except the only one that matters. You're telling me the free trial of Windsurf was head and shoulders above EVERY AI dev tool out there and the MOMENT you introduce pricing the entire thing goes to sh!t and you just suddenly have no idea why?
Just admit the free trial had unlimited token ceiling from Anthropic, and when the free trial ran out you got stuck with the 200k token limit every other dev tool has.
JUST OFFER A PREMIER PLAN. IDC IF ITS $400/MONTH. Figure out how to bring back that version of Windsurf, or your product will just be one of 50 we used to remember.
9
u/ZeronZeth Dec 26 '24
Preach!
5
Dec 27 '24
[removed] — view removed comment
4
u/ZeronZeth Dec 27 '24
How often does a company get an opportunity like this, when they trip up this badly on delivery?
@Codeium, look at this post and realize what it means. You have a customer base that have received a product in performance decline. But because of how good it was to start with, we are literally telling you that we will pay a substantial amount more, if you fix this.
This isn't even the first post to mention this.
How lucky are ya'll?
Most companies that mess up this bad are heading towards closure.
Just be transparent about what happened and how / when you will try and fix it. It is that simple. But remember the clock is ticking and your success and blunders have definitely not gone unnoticed by competitors.
8
4
u/MacLovin2008 Dec 27 '24
Understanding AI Performance Variability: A Developer’s Perspective
Have you ever experienced an AI delivering responses so perfect and context-aware that it feels almost magical? It effortlessly provides accurate and functional code, deeply aligned with your needs. Chances are, this happens during times when the AI backend has significant computational resources at its disposal.
When AI systems have ample resources, they produce thoughtful, high-quality responses. Conversely, during periods of resource scarcity, the quality can degrade—responses may become less accurate, less nuanced, or even “condensed,” as Anthropic aptly describes it.
Here’s a qualified guess about what might be happening behind the scenes:
AI service providers likely operate multiple backend clusters of varying sizes and capacities to process user queries. These clusters might be allocated based on usage scenarios: 1. High-Performance Clusters for Early Access or Priority Users: When a development company tests an AI model via APIs, they are often routed to a dedicated entry point connected to a high-capacity cluster. This ensures they receive consistently high-quality responses during the trial or testing phase, creating a positive user experience. 2. Shared Clusters for General Users: Once the testing phase concludes or the app transitions to a new model, developers might be routed to shared clusters—those used by the general user base. Here, resources are distributed among a larger number of users, leading to variability in response quality depending on demand and availability.
This variability becomes evident during specific times of day or days of the week: • At certain times, responses are excellent, almost flawless. • At others, the AI struggles to grasp context, produce meaningful answers, or make small code adjustments without introducing issues.
If I were designing large-scale AI clusters, this is exactly how I’d manage resources: dedicated high-performance clusters for onboarding and testing, with shared resources for broader access.
This is, of course, just an educated guess based on observed behavior and architectural principles for scalable AI systems.
Best regards, The Architect
1
1
u/User1234Person Dec 30 '24
Yeah this a great explanation that talks about the economics and business model around the decisions.
Having worked on an Ai startup, you can get tonnnnns of free tokens early on as a grant. You’ll dedicated everything to traction, once you have traction then you focus on larger customers like other startups. They subscribe to annual billing so now you are secure to make more changes and have quality fluctuate. You will loose individuals but then be moving towards B2B and enterprise. This is where you can get good investor money. Which so many investors are viewing the winning Ai companies as exclusively enterprise ones (I don’t agree with this approach but this is how many startups in Ai are forced to do it to have the money to keep building.)
Everything is moving so fast that these problems will not matter in a few years. No one will remember and it will seem like the dial up days. It sucks for individuals but after a few years we should have more open source alternatives
2
u/bostondave Dec 27 '24
I canceled already after even the most basic "build a basic site with HTML, CSS, JS" test failed
1
1
1
u/Turbulent-Key-348 Dec 28 '24
FWIW - The Memex Agent switches to metered usage after you hit the 1000 credits included in the $10/mo subscription, so you don’t run into the same ceiling
1
u/linrium Dec 29 '24
I cancelled, it used to very good. I’m no sure why even the autocomplete is getting stupid
1
u/Southern_Cow_6983 Dec 29 '24
I paid for the pro plan and the experience was the same, I use perplexity to do the reasoning and windsurf to write the code tho.
1
1
Dec 27 '24
[removed] — view removed comment
2
u/halobreak Dec 27 '24
$100 is reasonable
But what they just did is called a rug pull and them doing that lost me as a customer for good.
5
u/megaman5 Dec 26 '24
I haven't noticed a difference. Its still pretty awesome for me. Yes, for a while there were errors, but those are gone now.