

Bapusaheb Patil
3.9K posts

@baps_patil
Design Engineering x Brand Design for Products ✨ 5x Award-Winning Designer 🏆 Art Gallery: https://t.co/TmTFCAqlb3 🖼 I post about design, dev and AI.







Just released 🔥 localflare 0.2.0 : The best companion for wrangler dev. localflare.dev Change log : - Fixed all the major issues - Support for all type of projects and config with attach mode - Durable Objects now fully supported - Beautiful TUI with filtered logs - Wrangler passthrough args `npx localflare` @CloudflareDev @Cloudflare




@convex Not even sure how the cloud version is profitable it's cheap to scale and easy to use!



Cursor 2.1 is now available! Plans now have an interactive UI for answering clarifying questions. Also new: in-editor code reviews, instant grep, and improved browser use.







Three new OpenAI models are now available in Cursor: 1. GPT-5.1: For everyday tasks like planning and debugging 2. GPT-5.1 Codex: For ambitious coding tasks 3. GPT-5.1 Codex Mini: For cost-efficient changes


Met a few devs this weekend… They still didn’t know about Grok 4 Fast.. Grok 4 Fast is a game-changer: It has the Highest intelligence density ever - outperforms top models Ultra cost-effective: Up to 98% cheaper than alternatives Super-fast output = more productivity, less waiting It’s wild that this isn’t mainstream yet If you’re not using Grok 4 Fast, you’re burning both time and money Grok 4 Fast delivers GPT-5 (High) performance - for just 5% of the cost (95.7% cheaper)... Insane value Grok 4 Fast costs - Input tokens: 84% cheaper - Output tokens: 95% cheaper - Output speed: 150% faster GPT-5: $1.25/M input, $10/M output Grok 4 Fast: $0.20/M input, $0.50/M output Grok: 344 tokens/s GPT-5: ~138 tokens/s Let them know... If anything, Grok 4 Fast’s value is still under-appreciated






Codemaps might just be the best new feature by this AI IDE to help you understand and remember your project's system architecture. Super helpful when your codebase grows. Take a bow, @windsurf! 🙇♂️ First, you knocked it out of the part with DeepWiki which helped understand code at a more granular level. Codemaps takes it a step further.



