@outfightlol · X

@CHATTU3301 · X

@ResuCaliber · X

@617patrick · X

I built Laracon US attendees a free mobile schedule for #LaraconUS : Every talk plus the Day 0 socials. Star your favorites, RSVP links built in, or paste the whole list into AI and ask it what to attend. No app, no login. Built it with AI in about an hour - scraper, parser, mobile page. #laracon

@imjawith · X

matt413 · HN

Schedule tasks for your AI agents from Google Calendar

iacguy · HN

Show HN: Durable AI agents without the workflow engine

@SagarSR349400 · X

Working on Sieve, a distributed AI system that autonomously monitors Telegram group chats, extracts tasks and deadlines using Google Gemini, and sends intelligent private reminders.

@reruneio · 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

@JoydeepNath007 · X

@ranjitpata · X