This basically becomes a forcing function for Rork to become the best agent in the space. The better the agent gets, the better their margins get 🙂 Plus they launched a lot of other cool stuff, including a mobile app that builds mobile apps! Scroll the thread to see.
@mattshumer_
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Rork launches free AI agent error correction standard
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Rork is the first agent to implement a new standard: when your AI agent makes a mistake, it's free to fix it!
— Matt Shumer (@mattshumer_) 17 juillet 2025
This is really powerful for two reasons:
1. Users worry less about wasting $ on failed outputs
2. Rork now has an insane incentive to improve their agent! https://t.co/Keurdkb7qzRork is the first agent to implement a new standard: when your AI agent makes a mistake, it's free to fix it! This is really powerful for two reasons: 1. Users worry less about wasting $ on failed outputs
2. Rork now has an insane incentive to improve their agent! -
Combine Claude with Cline for optimal frontend and backend development
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Use both in combination! Plug CC into @cline and use it through the Cline interface, it's a much better experience. For frontend, use Cline w/ Sonnet or Opus w/o CC (because pure Cline has a browser integration that helps build better frontends), for backend, use them together!
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Browserbase and OpenRouter: Essential Tools for Building LLM Applications
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To be clear, I mean things like Browserbase or OpenRouter that you use to build LLM apps.
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Fast Inference Speed Critical for Complex AI Thinking Workflows
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Depends on the use-case… for many simple consumer use-cases, sure, but for anything that requires thinking, iteration, etc. t/s is insanely important. Extremely fast inference from @GroqInc or similar cuts down a 10 minute thinking workflow into just a few seconds. Or allows
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LLM Simulated Environments for Agent Training Without Real Tools
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By this, I mean something like, instead of creating an environment for the model to use during training, prompt a LLM to output what it thinks the environment would output for any given tool call.
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Using LLMs to Simulate Reinforcement Learning Environments
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Has anyone used LLMs to simulate RL environments? Seems like a huge opportunity.
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Testing promising AI tool this week
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To be honest, I haven't used it much (been focused on distribution these last couple days) but from everything I'm hearing, it's really really good. Will be testing it more later this week!
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Kimi K2 on Groq Enables Rapid Multi-Iteration App Development
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Kimi K2 running blazing fast on @GroqInc inside @cline.
— Matt Shumer (@mattshumer_) 15 juillet 2025
It's only going to get faster from here.
Imagine full apps being built in minutes, and you as the developer get to choose from dozens of iterations and options at every step.
That's the world we're moving towards. pic.twitter.com/NlZBEESgyYKimi K2 running blazing fast on @GroqInc inside @cline
. It's only going to get faster from here. Imagine full apps being built in minutes, and you as the developer get to choose from dozens of iterations and options at every step. That's the world we're moving towards.