https://nitter.cf/t.co/WIInSHSiO1 Founder
Joined October 2008
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Your AI assistant is only as good as the knowledge base feeding it. 🧠✨
Full guide + code on CodingCat.dev 👇 codingcat.dev/post/sanity-kn…
When you treat content as structured data instead of trapped HTML blobs, building search and RAG pipelines gets 10x easier.
Here is how to architect a future-proof Knowledge Base using @sanity_io, from content modeling to fast API queries.
CodingCatDev Deep Dive: Better Performance through analysis
Example of how to use Web.dev to maintain a timeline of performance, while running firebase performance for constant monitoring.
Podcast S1E26 with Flor Antara (@techflor), James Vidler (@jameskvidler): Creating Great Ecommerce with Jamstack
We sit down with Flor Antara and James Vidler to talk all about Ecommerce and the solutions for Jamstack.
Full episode, show notes, and transcript: codingcat.dev/podcast/1-26-c…
Watch on YouTube: youtube.com/watch?v=Wnnbi-GL…
Podcast S1E25 with Alex Gogan (@alexg0g): Creating Macro Benefits from Micro Frontends
We sit down to chat with Alex Gogan about how Sherpa is leveraging Microfrontends.
Full episode, show notes, and transcript: codingcat.dev/podcast/1-25-m…
Watch on YouTube: youtube.com/watch?v=rgHttPae…
Alex Patterson is working on @CodingCatDev retweeted
Cloud agent pipelines chain network hops across transcription, inference, and tool routing. Moving Speech-to-Text and a 12B Gemma model directly onto the device eliminates round-trip latency and keeps PII inside local memory. Architecture in the reply 👇
Alex Patterson is working on @CodingCatDev retweeted
How does Context MCP give AI agents deterministic context without blowing up your token budget? Instead of stuffing 50 RAG chunks into the prompt, the agent inspects the tree outline and pulls only the exact Markdown paths it needs. Details below 👇
Podcast S1E24 with Alexander Lichter (@thealexlichter): Diving Deeper Into Nuxt.js
We take a deeper dive into Nuxt.js with Alexander Lichter a core team member of Nuxt.js.
Full episode, show notes, and transcript: codingcat.dev/podcast/1-24-d…
Watch on YouTube: youtube.com/watch?v=oiCrHsa_…
Forgot to share last night before bed.
I am running back the old episodes of @CodingCatDev on @Twitch if you want to watch in stream mode ;)
Moving from WordPress to Jamstack with @jlengstorf
twitch.tv/codingcatdev/
CodingCatDev Deep Dive: Building a Fun App With Ionic Studio and Cloudinary
This post describes the procedure of uploading images to Cloudinary as a prelude for building a fun app called Face Smash with Ionic Studio.
Full article and code: codingcat.dev/post/building-…
Podcast S1E23 with Daniel Roe (@danielcroe): Creating a Better Vue with Nuxt
We chat with Daniel Roe about how he became a member of the Nuxt team and how Nuxt fits into the Vue.js ecosystem.
Full episode, show notes, and transcript: codingcat.dev/podcast/1-23-c…
Watch on YouTube: youtube.com/watch?v=anP1ANHu…
Podcast S1E22 with Cassidy Williams (@cassidoo): Hosting Next.js on Netlify
We sat down with Cassidy Williams to talk about her background as a developer. Then we talked about the cool new Next.js on Netlify hosting feature.
Full episode, show notes, and transcript: codingcat.dev/podcast/1-22-h…
Watch on YouTube: youtube.com/watch?v=QvYlf0rp…
Alex Patterson is working on @CodingCatDev retweeted
Vector RAG often fails when AI agents need exact technical answers. Chunking splits related rules apart and burns tokens on noisy retrieval. Context MCP fixes this by exposing a structured knowledge base directly to your agent. Breakdown in the reply 👇