Head of Engineering Shopify:
"AI writes the code, AI reviews the code. Your job is just to write the loops around it."
26 minutes on how AI changed the way 3,000 engineers work inside a single company.
Ignoring it while everyone else uses AI to do more is the fastest way to fall behind.
Watch it, then read the step by step guide on loops below.
Christian singer Matthew West shared a powerful story about taking his daughter to camp. During an exercise, the daughters were blindfolded and the dads were told to guide them through the woods after repeating three instructions: I will never leave you. You can ask me anything. And only listen for my voice.
At first, he could guide her easily. Then the counselors signaled for him to remove his hand. He was no longer allowed to speak unless his daughter remembered she could ask him anything. Eventually, they got off track on their hike and a counselor quietly led her into a ditch without her realizing it.
After standing there blindfolded and confused, she finally asked, “Dad, are you there?”
Matthew said he teared up as he answered, “Yeah. I’m here.”
This moment reminded him how often we forget the same truths about God: that He never leaves us, we can ask Him anything, and we need to listen for His voice.
Claude Code and Codex (GPT-5 High)
Complete Vibe Coding Guide
We build 12 apps in this video of varying difficulty
PART 1: INTRO
00:00 Intro
03:25 What are these tools?
04:40 Learning Claude Code
05:16 First Prompt in Claude Code
06:12 Editing Prompt with Claude Code (Making a linktree)
07:02 Prompting Codex w GPT-5 and Gemini CLI
08:38 Running on Skip Permissions Mode (Yolo Mode) by default
09:53 Commands in Claude Code /cost /model /clear / compact
13:34 Resume Previous Chats with /Resume in Claude Code
14:42 Sharing web app links immediately with sharable links
[Use all these tools in @sandboxvibe]
PART 2: VIBE MARKETING AND STATIC PAGES
15:30 Building Static Pages (Vibe Marketing)
17:55 Vibe Marketing 1: landing page in Claude Code and Codex
19:38 Evaluating the Landing Pages with Claude Code, Codex, and Gemini
20:10 Making edits to our landing pages + Context Management + Wispr Flow
24:57 Vibe Marketing 2: Creating a Lead Magnet with Claude Code, Codex w GPT-5
26:06 Using Tally to embed into our Lead Magnets
32:40
33:13 Vibe Marketing 3: Creating a research Presentation with Codex
36:15 Polishing and editing our presentation
37:35 Vibe Marketing 4: Building Prototype, Analytics Dashboard, and Game at the same time with Claude Code and Codex
38:30 Using Canvas app to mockup for prototype (Excalidraw)
41:33
46:49 Dealing with an error in Codex w/ GPT-5 high
49:45 Vibe Marketing Recap... What we created
PART 3: WEB APPS WITH AUTH AND DATABASE
50:56 PART 3: Building Notes App with Database and Authentication using Instant DB
51:07
51:23 Using InstantDB to build apps
01:01:31 API's (AI Power ups for your vibe coded apps)
01:01:45 Building Thumbnail Editor App with Nano Banana API
01:07:04 Bringing a Prototype to life with Nano-Banana
01:09:19 What are API Keys? Why do you need them?
01:11:51 Getting Google API key for Nano Banana
PART 4: MOBILE APPS WITH API'S
01:18:43 Building a Mobile app on @v_computer
01:20:53 Building a mobile app using AI API's
01:29:27 Deploying Mobile apps to the App Store
01:33:03 Deploying your apps from Sandbox
Get access to all of these tools in one subscription in next tweet: 🔽🔽
I’m going to show you how *incredibly easy* it is to add some AI-magic to the search bar in your sites & apps in 2025 using @typesense.
Say you’re building a cars site & you have a search bar on top. You have cars. Cars have attributes. You have well structured data like make, model, color, year, hp, mileage, etc. Cool.
Along comes a user & types this into your search bar:
“A black SUV with less than 30K miles in Houston for less than 20K”.
☠️🫣
If you’ve built any kind of search experience you probably know how hard it is to map free-form text like that to specific attributes in your dataset.
Like how do you know that 20K is talking about cost, and black is talking about the overall color and not the color of the seats, and then account for the zillion other ways your users can write the same query?
If you haven’t encountered this, let me tell you that it is HARD to use simple full-text search or even fancy semantic search or hybrid search to pull this off.
Traditionally you’d have to train and build what’s called intent detection ML models to do this well.
Ain’t nobody got time for that! 🤓
Enter @Typesense - an open source, cutting edge, light-weight alternative to Elasticsearch / Algolia.
As of v29.0, it now has a built-in feature that cleverly uses the magic of LLMs, to parse your users’ queries, and convert them automatically into a set of filters and sorts, and then executes that query and returns results.
So in our example “A black SUV with less than 30K miles in Houston for less than 20K” gets converted by Typesense automatically into this search query:
Notice how the free-form user query was correctly mapped to the attributes and values in our cars dataset under the hood.
It’s literally one API call to Typesense, to make this magic work:
The curl request will return results like this:
And you’d display those results in your UI.
That’s it. What used to take teams of ML experts, is now one API call away. No PhD required.
You now have an AI-powered search bar that’s ready for the most brazenly complicated user queries.
How about this one:
No problemo!
That get's translated to: 🪄
```
filter_by: "transmission_type:AUTOMATIC"
```
(Only 4 images per tweet, so only text for that one)
Even though `transmission_type` only has
- `Automatic` and
- `Manual`
across all records, Typesense is able to automatically convert the user’s intent in “I don’t know how to drive shift” to the fact that we should only show them vehicles with automatic transmission.
Easy-peasy.
Here’s a step-by-step guide on how to implement Natural Language Search in your own sites and apps:
https://t.co/KUgjTQ9weB
This JSON file will change how you write threads forever...
I analyzed threads with millions of views and turned the winning patterns into a context file you can upload to Claude/GPT.
This JSON context file contains hook templates, thread structures, and psychological triggers you upload to Claude/GPT + source docs with original viral tweets.
Follow + comment "FILE" and I'll DM it.