Today, I'm excited to open source Firesearch A full-stack Next.js template for building your own AI-powered deep research engine. Details, video and repo 👇

Decided to have fun with Context7 MCP today by building a Nextjs SaaS boilerplate I wanted to do that for quite some time and I was amazed by the speed at which I could setup everything using the MCP What I got in only 2 hours: - Nextjs + Shadcn - Better-Auth for

Context7 index for Upstash Search context7.com/context7/upsta…

ai knows it well !!

Why serverless? We have a HackerNews bot tweeting daily summaries. Built by an intern who left the company. Untouched for months. Still works perfectly. Zero downtime. Zero maintenance. Zero cost. That's the serverless promise delivered. Upstash Workflow + Vercel

Enes Akar Turkish Airlines Serdar Gürbüz We’ve just released our Beta Remote MCP Server, Enes! Please take a moment to check it out, and we would greatly appreciate your feedback. mcp.turkishtechlab.com linkedin.com/pulse/revoluti…

Turkish Airlines announces their MCP server. Hoping to buy my next ticket by chatting instead of endless forms. 👏 Turkish Airlines linkedin.com/pulse/revoluti…

Context7 uses the same URL format as GitHub. Replace github with context7 in the URL. thanks Jan Wilmake for the inspiration.

coding agents are anything but minimalist 😤

llms.txt -> data context7 -> curated data

good practice on LLM prompting: Ask scores (1-10) instead of yes/no. So you can tune it later depending on your expectation.

this weekend i will work on improving apidoc parsing for context7. right now, it is quiet successful on extracting code snippets. not much with apidocs.

first usage of context7.json other than our own team context7.com/jason-k/karabi…

nothing beats the satisfaction of using a tool you built for others 🤩 just migrated all my OpenAI clients to the official Gemini SDKs using Cursor + Context7 — smooth execution, zero errors

Introducing context7.json - an open standard to make your docs available to AI 🎉 ◆ Control how Context7 parses your docs ◆ Set rules and best practices ◆ Control what gets indexed Just like robots.txt, but for your documentation 👇

Vertex AI (Google Gemini) combines quotas of tenants into a single pool 😤 If number of users spike, you can get blocked even your load is the same. They document this with a cool name 🤦🏻 DSQ -> Dynamic shared quota more resources with less predictability is worse!

The best use of an MCP I've seen yet: Context7 providing fresh docs to coding agents. I'm toying with Next.js without really knowing Next.js and Claude would occasionally use a deprecated API. I added the Context7 MCP and the issues are gone!