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CodingCat.dev retweeted
Podcast S1E15 with Shawn Wang (swyx) (@swyx): What's up with Svelte
On this podcast we talk with Shawn Wang also known as swyx. We dive into what is happening with Svelte, the Svelte Society, and Svelte Radio.
CodingCat.dev retweeted
CodingCatDev Deep Dive: Use Firestore to Build Hugo Content
Use a frontend app (Angular), to update a Firestore Backend, trigger Firebase Function, while maintaining git commits, and buld/deploy your Hugo site.
CodingCat.dev retweeted
Podcast S1E14 with Patrick Martin (@pux0r3): Firestore for Unity and C++
We talk with Patrick Martin from Firebase all about game development and how Firebase's Firestore is now available in Beta.
CodingCat.dev retweeted
Podcast S1E13 with Scott Tolinski (@stolinski): Creating a Learning Platform
We talk with Scott Tolinkski of LevelUpTutorials all about his past and why he started his Learning Platform.
3/ Think you are diversified in VOO, SPY, QQQ, or VTI?
37% of the S&P 500 and 48% of the Nasdaq-100 sit in these 8 interconnected AI balance sheets (plus TSMC, ASML, and SK Hynix in VXUS).
Full breakdown + Architecture Diagrams:
codingcat.dev/post/anthropic…
2/ In public, Meta, Google, Apple, Microsoft, xAI, and Anthropic are rivals.
Under the hood:
• Meta trains Llama on 1M+ NVIDIA GPUs while using Google Cloud & Gemini Search grounding.
• Apple routes Apple Intelligence to Gemini, OpenAI, and Claude.
• All chips -> TSMC.
1/ Look at how "AI round-tripping" works in the S-1:
• Google commits up to $40B -> Anthropic signs $114.5B in Google Cloud TPU commitments through 2033.
• Amazon commits up to $33B -> Anthropic signs $110B in AWS Trainium2 commitments.
• Plus ~16% marketplace fees!
Anthropic just filed its Form S-1 for a Nasdaq IPO ($ANT), and the footnotes read like the ultimate Big Tech infinite money glitch.
$16.3B H1 2026 revenue.
-$80.7B H1 GAAP net loss.
$518B in take-or-pay cloud commitments.
How 7 CEOs built a circular AI economy: 🧵👇
Check out the production checklist covering Context Viewer tokens, scheduled drift detection, and token cost optimization:
Video: youtu.be/jm5Vq60qYTk
Article: codingcat.dev/post/sanity-kn…
Here is how the dataset outline and GROQ projection flow works under the hood: youtu.be/0gsqAIGxXzc
Architecture deep dive on CodingCatDev: codingcat.dev/post/sanity-kn…
See how source change flagging blocks unapproved updates in 60 seconds: youtu.be/LFFy_UwbEa4
Step-by-step walkthrough and code: codingcat.dev/post/sanity-kn…
How do you keep AI agent context windows lean at runtime? Shape the dataset at build time. Use a narrow GROQ projection to strip UI metadata and compile a compact dataset outline so agents retrieve exact entry paths on demand. Details in the reply 👇
What happens when someone edits a pricing or policy doc with an unverified claim? In standard RAG, the vector index ingests it immediately. With Sanity Knowledge Bases, the conflict is flagged before it touches agent state. Demo in the reply 👇
Shipping an MCP knowledge pipeline to production requires three guarantees: low token overhead, source drift protection, and strict read-only auth. Never let unvetted doc edits silently mutate agent answers. Production patterns in the reply 👇
CodingCat.dev retweeted
Podcast S1E12 with Joel Varty (@joelvarty): Agility CMS
Joel Varty talks all about Agility CMS. Where DXP fits into the Jamstack.
CodingCat.dev retweeted
CodingCatDev Deep Dive: NPM Tips and Tricks
Adding NPM Globally, setting default values for packages, and stopping the dreaded sudo calls.
CodingCat.dev retweeted
Podcast S1E11 with Jason Lengstorf (@jlengstorf): Moving from WordPress to Jamstack
Talking with Jason Lengstorf about how to use Wordpress to power the backend to any of your Jamstack sites.
CodingCat.dev retweeted
Podcast S1E10 with Aaron Frost (@aaronfrost), Ali Spittel (@ASpittel), Kelly Vaughn (@kvlly), Tyler McGinnis (@tylermcginnis): Creating a Startup
Creating a Startup is hard! Learn from the experts who have created great startup companies. Everything from an LLC to S...
