Everyone can code! 😃✨

I have been building code/ products for years.

Up until last year, you needed deep coding knowledge to build software. Whole developer teams: frontend, backend, cloud architect, additional Python developer, etc.

That makes total sense.

However, I have been using AI for automatically developing solutions for months now and realized that I don’t even need to know how to build all the code in detail anymore.

Honestly, it is sufficient to roughly understand which part of the solution does what. Later, thorough testing will uncover the issues, which you’ll rework afterward.

I can build (AI) solutions in minutes (for PoCs), hours (for MVPs), and days (full in Production).

And you can, too. I promise.

How? With my proven framework to build your (AI) solution. More to that below.

So, it is official.

I am in the process of recording an online course. The release will be around the 12th of August. 🚀

See here how I built Pong, the game, hosted in the cloud with just a few interactions with Claude 3.5 Sonnet.

You will learn how to build relevant solutions/ projects:

My team and I deliver full professional solutions through AI, not just toy projects - including. DevOps practices like version control i.e. git, CI/ CD, virtual environments, containerization, code quality, testing, monitoring, and logging, etc.)

What you will learn:

Not one but a set of frameworks:

• one framework for evaluating if your idea can be developed via AI and human guidance,

• one for framing the statement right

• one for collaboratively (the human as the captain and the AI as the machine) building the solution

• and one for professionalizing the solution.

PoC is relatively easy → see Pong above in the video, but this needs to be done right.

MVP is feasible → our frameworks are necessary for that.

Pilot and in-production projects → also possible, but have an expert checking it.

The upcoming online course, offered at a limited-time lower price, includes personal support from me. It covers developing web and mobile apps, backend services, DevOps practices, and crucially, AI and other API integration.

This means the course also includes professional prompt engineering.

By leveraging AI right, you will become a superhuman employee, solopreneur, innovator, problem solver, and more.

Coding skills are not required anymore to build things!

As a non-technical person, you can let AI develop your projects reliably with our framework. 🤎 

Or reply to this email. 🙂 

Meta has released Llama 3.1-405B, the latest and most advanced open-source AI model.

It has 405 billion parameters and is amongst the top-tier proprietary AI models, i.e., GPT-4o, Claude 3.5 Sonnet.

It uses an optimized transformer architecture with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), and has a context window of 128k tokens (roughly 2 books).

The model weights are openly available for download, today.

Pro tip: If you run an AI application, you can change it now to Llama 3.1-405B and receive the same performance for 0 $ in API costs.

Most impressively, it’s the strongest model for function calling (Nexus Benchmark), making it ideal as a project manager agent in a multi-agent framework. Your Chief of Staff.

In an interview, Mark Zuckerberg mentioned they are already planning Llama 4: hardware, model architecture, and training data are roughly clear, but still early.

Further, he expands: Meta’s AI vision is AI Agents everywhere. Each business will have AI agents working for it, in sales, customer support, etc.

Read more:

• Llama 3.1-405B Weights (You can start building now!)

• Our piece on Llama Agents (AI Agents framework).

• Our piece on Flow Engineering (how AI Agents best interact).

• Interview with Mark Zuckerberg.