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Stop building knowledge bases with messy folders of Markdown files. 🛑
If you want your docs and internal knowledge to actually scale, you need structured content.
In our latest guide, we break down how to build a modern, scalable Knowledge Base using @sanity_io:
- Designing a flexible schema for docs
- Querying fast with GROQ
Making content easy for non-devs to edit
Read the full breakdown here 👇 codingcat.dev/post/sanity-kn…
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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.
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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.
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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.
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 👇
Full architectural breakdown of local Speech-to-Text + 12B Gemma on-device tool calling with Shivay Lamba: youtu.be/RSKKXEE9AJE
Explore more Episodes and Blog Posts: codingcat.dev
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 👇
See the Context MCP data flow in action and read the architectural breakdown on CodingCatDev:
Short: youtu.be/wBZeFjK6KB8
Blog Post: codingcat.dev/post/sanity-kn…
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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.
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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.
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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.
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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.
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 👇
Watch the 60-second Context MCP overview here: youtu.be/wBZeFjK6KB8 and explore more tutorials on codingcat.dev
Production AI governance isn't just prompt guardrails. If unapproved doc edits can silently overwrite your retrieval layer, your agent isn't safe for enterprise workflows. Keep your knowledge base verified and auditable. Guide in the reply 👇
Why verified knowledge bases beat raw RAG in production: youtu.be/LFFy_UwbEa4
Read the production architecture guide: codingcat.dev/post/sanity-kn…
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Podcast S1E21 with Tim Benniks (@timbenniks): Becoming a Developer Advocate
Learn from Tim Benniks about how he changed from being a director of Web Development into his new role as a Developer advocate
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CodingCatDev Deep Dive: Slack Workspace Theme Customization
Learn how to customize your Slack workspace theme using SlackThemes.net and contribute custom color themes on GitHub.
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Podcast S1E20 with Antonio Lo Fiego (@antonio_lofiego): #100DaysOfCloud
We sat down with Antonio Lo Fiego to talk about #100DaysOfCloud, how it started and what is coming next.
Vector similarity search often returns half-broken chunks when AI agents need exact rules. With Sanity Knowledge Bases and Context MCP, agents read the structured outline first and fetch complete Markdown entries by path. Breakdown in the reply 👇
Watch the 60-second Context MCP overview and read the full guide on Sanity Knowledge Bases:
Short: youtu.be/wBZeFjK6KB8
Blog Post: codingcat.dev/post/sanity-kn…