!!Mr Paul

Frontend Samurai

[!!Mr Paul @finedeveloper]

I thought about a clothing brand specifically tech inclined, not just slapping code or text on fabric.

More like engineered wear: functional, minimal, intentional.

So I asked ChatGPT to design a pant. Would you actually wear something like this?

[!!Mr Paul @finedeveloper]

Thrilled to be facilitating this!

It’s happening May 1st at 5:00 PM inside the Kodnerds Community. Community members only, so make sure you’re in!

See you there 👇
https://t.co/98L2XTQd9X

[kodnerds @kodnerds]

Prompt Engineering Workshop — May 1st

We’re excited to be hosting a practical Prompt Engineering Workshop inside the Kodnerds Community on May 1st.

Big thanks to @finedeveloper for leading this session and sharing valuable insights with our members 🤝
#PromptEngineering #AI

[!!Mr Paul @finedeveloper]

Cooking... 😉

[Alex Lieberman @businessbarista]

Someone is going to build a worldclass “Brain” for enterprises & make a stupid amount of money.

Why? As @da_fant said, “coding w ai is solved bc all context is in the git repo. knowledge work is difficult bc context is spread out. an ai system that creates a git repo w all context for a knowledge worker will be able to 100% automate the work.”

When companies talk about being data ready for AI, this is what they’re implicitly saying.

Engineering has been prepared for this moment for a long time because of the deterministic nature of code, the centralization/versioning of data (read: GitHub), and AI tools that are largely build by engineers for engineers.

But for the rest of white collar work, there’s a TON of catching up to do to properly harness the power of the technology.

The big challenge here, and why no one has truly cracked the code for "an ai system that creates a git repo w all context for a knowledge worker" is because unlike code, most knowledge is 1) distributed, 2) unstructured, and 3) unverifiable.

It's distributed: transcripts live in Granola. Documents in Notion. Customer Data in Hubspot. ERP. Emails. Slack messages. Random spreadsheets. SOP docs. Etc. Etc.

Building an ingestion engine that connects to all of your disparate data sources and auto-updates based on the shelf-life of the data is the first, and frankly, easiest step of the process.

Next, it's unstructured: let's say I want to create a proposal for a potential client. To nail the proposal, I want it to pull important information from a variety of sources. The specific asks & background from our initial sales call. Previous proposals to anchor ourselves to a proven format. And completed sprint boards from Linear, so the pricing & timeline in the document is grounded in truth.

Whether it's a thoughtful filesystem (a la Obsidian) or an OpenClaw-esque memory structure, the brain needs to be great at self-organizing in a thoughtful schema. This is very hard, especially if you want to build a generalizable brain that can be shaped to an array of different enterprises.

And finally, most knowledge is unverifiable: writing a function, running a unit test, and seeing if the code works is easy. It works or it doesn't. Using AI to accelerate your content creation process is highly subjective. What is a good/bad idea? Is the content in your voice or not? Does it feel like slop or novel? Answering these questions are both difficult and non-verifiable.

That same system described above doesn't just have to be great at organizing & forming coherent relationships, but it also has to be great at self-improving based on feedback from the user. Memory systems (like those introduced by OpenClaw) are great to a point, but as you scale the corpus of data within your company's brain, things like compaction and cleaning become wildly important to avoid the needle in the haystack problem.

Someone is going to figure out how to solve this problem, and when they do, not only will they make a shit ton of money, but they'll be robinhood for knowledge workers, enabling non-engineers to enjoy the sort of leverage that only technical folks have felt for the last few years.

[Claude @claudeai]

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.

It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.

Now in public beta on the Claude Platform.

[!!Mr Paul @finedeveloper]

DX: !important

[JNS @_devJNS]

everyone cares about user experience,
no one cares about the developer's experience. 💔

[!!Mr Paul @finedeveloper]

It's time. Tune in

[!!Mr Paul @finedeveloper]

Tomorrow on X Spaces

We are unpacking PayPal’s re-entry into Nigeria — growth catalyst or market disruptor?

Join the conversation 👇

https://t.co/TZHLGN3jWy

[!!Mr Paul @finedeveloper]

Tomorrow on X Spaces

We are unpacking PayPal’s re-entry into Nigeria — growth catalyst or market disruptor?

Join the conversation 👇

https://t.co/TZHLGN3jWy

[!!Mr Paul @finedeveloper]

Join me on Sunday as we talk about PayPal’s re-entry into Nigeria. A growth catalyst or a market disruptor?
Let’s discuss.

[!!Mr Paul @finedeveloper]

https://t.co/TZHLGN3RM6

[!!Mr Paul @finedeveloper]

Join me on Sunday as we talk about PayPal’s re-entry into Nigeria. A growth catalyst or a market disruptor?
Let’s discuss.

[!!Mr Paul @finedeveloper]

@marvinographer I dey your door

[O'mara @marvinographer]

Urgent:

Looking for a job or opportunities with life changing money.

[Pakt @PaktWorld]

GM @avax Summit!

We made you a gift: Tip Jar - IRL crypto tipping.

Instead of swapping Telegram handles today, tip your new frens some AVAX (or mabye @ketfromwyoming) along with your email to really stand out.

Built with @lovable (AI) + Pakt under the hood.
Link below👇👇

[!!Mr Paul @finedeveloper]

291 - wasn’t enough to get into UI for computer science

[O'mara @marvinographer]

275 -
254 -

Was not enough to get admitted into
UNILAG
UNN
NDA

🤣

[Neda Sefati 🪶 @neda_sefati]

https://t.co/LYJLl7bvWq

[!!Mr Paul @finedeveloper]

@florinpop17 😂😂

[!!Mr Paul @finedeveloper]

@neda_sefati You can find practical projects to work on here

https://t.co/uN8sm1bOFJ

[design_goddess @Manuellabubakar]

https://t.co/EoNRSFAig2

[!!Mr Paul @finedeveloper]

@marvinographer Let me reply on their behalf:

Hi 👋 😂

[!!Mr Paul @finedeveloper]

There is so much garbage on the internet.

[!!Mr Paul @finedeveloper]

@coder_blvck Sheddy, why are you disguising? 😂😂