... Chrome has 5 windows open, you'd never know. Minimized windows disappear. They shrink into some tiny thumbnail on the right side of the Dock that's easy to miss entirely. No window titles. When you have multiple VS Code or Chrome windows, there's no way to tell them apart without hovering or using Mission Control. Notifications are easy to miss. A small red badge vs

... average daily total metric event value per daily active user. A higher number means users are more active on your platform. That's it for Jan, but here's a few things we have cooking... Points boosts Temporarily modify points logic around key events with no code e.g. "2X points weekend". Aggregated leaderboards Configure leaderboards that create competition between groups of users like "London vs

... basically held hostage. The lock-in. All your recordings live on their servers. You can't self-host. You can't truly own your content. It's closed source. As a developer, I wanted something I could peek into, modify, and make my own. So one weekend, instead of doom-scrolling Twitter, I thought what if I just... built ...

... paragraphs This is Vibe Writing: You set the direction, AI executes, and you polish to perfection. Why Chat Interfaces Don't Work for Vibe Writing You might think: "Can't I just use ChatGPT for this?" The problem: Describing "modify the third paragraph" in a chat box is incredibly tedious. The traditional AI writing workflow: Type prompts like "make paragraph 2 more persuasive" Copy and paste between chat and your document Lose context switching back and forth Break your creative ... ... Stands Out 1. AI Lives Inside Your Editor This is MindMax's core innovation, inspired by modern AI coding tools like GitHub Copilot. The old way (AI chat agents): AI sits in a separate dialogue box Requires tedious prompts: "modify

... that way? The problem we're solving: AI is amazing at writing code, terrible at explaining it for future you. You end up with working solutions but zero context about what they do, why they exist, or how to modify them. What Andiku does: We automatically generate detailed, human-readable documentation for any code AI creates - so you actually understand what you're working with. Automatic documentation - Every AI code snippet gets proper docs Context preservation - Remember WHY you needed ... ... this code Searchable knowledge base - Find solutions by what they solve, not just what they contain Usage examples - See how to implement and modify

... using AI to generate working code, but we're not treating it like production code in terms of documentation. Traditional developers spend significant time documenting their code because they know future them (or their teammates) will need to understand, modify, or debug it later. But with AI-generated code, we often just copy-paste and move on. The problem: You generate a perfect solution today. Three weeks later, you need something similar. You can't remember what the original code ... ... does or why you built it that way. You end up re-prompting for the same solution. What I've learned: Taking time to document AI-generated code (what it does, why you needed it, how to modify

... been primarily using @Cursor as I like how it operates, enjoy that it's visual, and I am getting very comfortable with using it and being able to easily select different code bits and modify what I need....however.... I recently started using Gemini CLI in @Warp and I must say... I'm kinda liking it. I feel that it's able to do a lot more, faster without needing me to jump in. When I do jump ... ... like overtime we'll see an IDE the same way the latest crop of coders views vim or emacs, so I'm very in favor of moving away from an IDE despite using one myself! Comment from vishal pandey(@vshpandey96

... Choose an existing template that you like (from our gallery or one of your own templates) and click the Remix with AI button, as shown in the GIF below. Add a prompt on how you want the AI to modify the template. You can also add a sample email template copy. The AI will modify

... recently experimented with @Cursor to replace @Github Copilot . Key takeaways Tab completion : Cursor includes a helpful tab completion feature, suggesting refactorings and improvements as you go huge time saver! Chat : the chat/composer is better than Copilot as it can modify across files in the codebase. However, we still needed to correct the code most of the time :/ Full context : Cursor has full context, so it provides more helpful advice and changes Generating comments : it makes it easier to add code ... ... they need clarifications from time to time tho Working with existing codebases : Cursor seems better at writing code from scratch than contributing to large existing codebases Hallucinations : as far as we can tell, it had fewer hallucinations compared to alternatives