@gonelf · X

Yeah, and I have a good track record. Also let’s colab for

@mevsjack · X

Google is QUICK wit it. already has a full ai generated description, fully populated, sitting nicely. And I literally just launched. This vibe coding stuff is really growing on me lol. The community around it is pretty freaking cool too.

SYeomans · HN

TokenMaxxer – track every AI token you spend across your coding tools

@bulkhttpstatus · X

@usamariaz030 · X

@nrqa__ · X

the AI agent resource list I wish existed a year ago 1). for learning the fundamentals (videos) ↳ llm introduction - the crash course that actually explains how these models work before you touch a line of code ↳ llms from scratch - build one yourself so the black box stops feeling like magic ↳ agentic ai overview (stanford) - a proper academic breakdown of what makes an "agent" different from a chatbot ↳ building and evaluating agents - how to actually test whether your agent is doing its job or just faking it ↳ building effective agents - practical patterns for agents that hold up outside a demo ↳ building agents with mcp - how model context protocol changes the way agents connect to tools and data ↳ building an agent from scratch - no frameworks, no shortcuts, just the raw build ↳ philo agents - a full playlist for going deeper once the basics click 2). for cloning and remixing (repos) ↳ genai agents - a growing collection of agent examples you can clone and

@sherifpeterson · X

@tokenrouter · X

@dash12_dev · X

analyzes n8n workflows and Make scenarios, finding breakpoints, cost risks, and hidden reliability issues.

@volosatovde · X

I’m building this to make it quicker and easier to find clients