@himanshu_b20 · X

@zelvaio · X

@ugo_builds · X

@A11anTa · X

a smart link in bio

@aditya_founder · X

@lemhamza · X

@saifcodes_exe · X

@checkmurmur · X

@mj_jimmi · X

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

patches game — 每日逻辑谜题游戏

u/KeyProject2897 · Reddit

built a tool to help fellow dreamers setup basic marketing for their products I built 2 products over the last couple of years - Baloon.dev and Sling.biz. Loved building both of them. But always stuck at marketing. I'd ship a feature, make one or two posts, and then get busy building again. Few weeks later I'd realize I hadn't posted anything. So I built PublishLoud It watches my GitHub commits and drafts posts for LinkedIn and X. I still edit everything before posti