A top tools for AI: Wolfram Alpha is a powerhouse computational knowledge engine for AI.
It works this way: computing answers from a curated knowledgebase to supercharges AI’s accuracy & analytical depth.
@Wolfram_Alpha#ArtificialIntelligence
When a codebase becomes large or complex, there are many ways to improve AI’s understanding.
One approach is using Giga AI by @NamanyayG.
It automatically manages AI IDE rule files, improving AI performance — matching a suggestion from Cursor’s official docs (see the comments)
Frontend design and code are evolving in many ways on this AI era. It’s exciting to see @onlookdev take a Cursor-like approach — keeping the developer in the loop.
I can see it scaling, just like @cursor_ai.
#artificalintelligence#FrontendDev#figma
6️⃣ Episodic Memory
Think of this as a journal — recording each conversation or action along with its timestamp.
ChatGPT uses this in two forms: chat history & saved memories.
Under the hood, ChatGPT incorporates that info silently so it “remembers” what was said earlier.
5️⃣ Procedural Memory
Also referred to as “skill sets.” It encodes how to perform tasks.
For example, when you define how to perform a function calling for an agent, such info is a type of procedural memory.
Slash AI costs by up to 85% without compromising quality 😎
Utilize #RouteLLM to intelligently select the optimal model for each prompt, then leverage @openrouter to execute the actual API calls through the most cost-effective and available provider.
Rock!
@galaxyai__ In case anyone is wondering @openrouter vs. @galaxyai__ :
OpenRouter: Built for developers ⎯ offering a unified API that provides seamless access to a wide range of LLMs (eg., GPT-4, DeepSeek, ...) with cost-effective scaling ⎯ all without subscription fees.
Everyone should try this AI tool: @galaxyai__
Tailored for the general public ⎯ an all-in-one AI platform that offers several unified UIs to interact with various AI (e.g., Gemini, Perplexity, Midjourney, ...), bundling over 2,100 tools into a single $15/month subscription!
Among all the MCPs, @MindsDB still feels underrated.
Here’s the deal:
You use it to fetch data — from a site, ur own db, whatever — store it in their db (which can even be deployed in ur pc), then query it using natural language in Cursor chat or directly in your code.
Crazy 🤘
After checking out products like @stitchbygoogle, Firebase Studio, ...
It’s clear — Google want to have it all.
Building generic AI tools is a risky move. The space is crowded, and everyone’s chasing the same problems.
Go really niche is the only way to go.
#Google#UI
@xn1cklas@stagewise_io@cursor_ai Hi, @xn1cklas
As show in my link, I did make it work.
But sometimes, after I chat on the browser side, the automation provided by @stagewise_io in Cursor might not be triggered.
I think you really want to make it reliable in React Router v7, since it'd be a next big thing.
Imagine you can turn your browser environment into a lightweight visual editor so that you can chat with AI right in the browser to modify whatever UI on the screen, and it'd do the work in your Cursor immediately.
That's @stagewise_io!
@cursor_ai#FrontendDev#UI