@itstarun1994 · X

@Sneslix · X

@JoydeepNath007 · X

@helloukey · X

@dmitr2ii · X

@imadbuilds · 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

@8876sahil · X

If you tired of random DSA videos and unstructured placement prep. You can try trackMe a free placement tracker. Practice DSA pattern-wise, prepare topic-wise, and learn with ChatGPT. Feedback welcome. Share if useful

@AyushGu50073550 · X

Some improvements are still required

@alexander_roese · X

1. Building a platform to help companies capture and preserve critical employee knowledge before it leaves the business. 2. For SMEs that want to reduce knowledge loss, improve onboarding, and make internal expertise easier to access. 3.

@seomaneesh · X

Here is mine:

@vhm205 · X

Too many news articles, too many bookmarks, too many notes, but I never open them again because I don't know where to find them