Leveraging {AI}`to Code`

Beyond the Vibe

The learning curve is shrinking

Birth your ideas into the world

"Exponential Organizations"

Get Settled in, had this idea about a month ago, Gist Resources link on slack and DineNYC.io and password. - DO AI Phone Call - AI 400 Billion dollar with AI + and rapidly growing about 30% per year. - As a vibe coder you can create something imaginative that has some cool function, but maybe you get to the stage of shipping - The reason I created the class is because everyone is living within a soul mission.. and the amount of buggy slop code out there that everyday people have a chance to get out to market and win if they have just a little bit of knowhow and instinct of where to look. - Exponential Organizations was a book by Salim Ismail - On a global scale the competition between the US, China, Russia, North Korea and others is going to determine world domination I believe we're either creating the tower of Babel or innovating something that we can learn to manage and adapt with. We can either build AI with good intentions or let corporate greed control the AI that goes unchallenged. This is partially a mission to recruit people from vibe coding to produce more robust apps and to also showing up in our own lives and activating our greater purpose. Hope you guys enjoy.

Who Am I?

Background in Web Development, Indie Hacker

Competitive chess player

Shipping apps

Introductions

What inspired you to show up today + What tech projects have you been working on?

Ethical debate: What is our view on the benefits or ultimate negative of integrating more advanced AI into our culture?

With the 40s, early thinking about intelligent machines began. Norbert Wiener founded the field of Cybernetics, which studied machine feedback and control. 1950 The Turing Test In 1950, Alan Turing published the influential paper In 1956, John McCarthy coined the term **Artificial Intelligence** at the Dartmouth Conference. After that, there was a period called the AI winter, when hype outpaced progress and government funding slowed. By 1997, IBM’s Deep Blue defeated world chess champion Garry Kasparov. Kasparov had a rating over 2800 and was known 2006 The revival of neural nets Geoffrey Hinton and colleagues revived research into deep neural networks. Now we have transformer technologies, tokens, and context windows. Tokens represent about 3–4 words,

Systems Thinking is the Future

The one who implements systems thinking gains compounding rewards on effort

SWARMS & multi-agent automation
AI as an auto-complete on efforts
Insulate yourself from the effects of AI

PLAY Audio, Just like following our inspirations is a pull motivation, we also have a Response-ability an ability to respond.. What is Systems Thinking? Systems thinking is a Holistic approach both within software itself It allows for better problems solving because you can take different areas that people normally specialize in and close the deficit in understanding how things really connect. So I recommend with expanding within and beyond vibe coding.. that you also take the time to explore what sparks your attention or what has utility to serve you as you're troubleshooting and putting in the repititions.. Innately AI is designed to be a tool and not to replace all of human creativity. Software developers often can have too logical or rigid of mindset, while someone with the vibe can go beyond limits but not understand how to add in robustness and practicality. Finding your synergy is the key to unlocking your genuis in apply elements of Systems Thinking in everything that you do. The person who implements systems thinking wins again and again. because of compounding rewards on effort and innovating your way to a new place of leverage. You can't make a good move from a bad position on the chess board and so it's important to make small steps to be at a great position first so that you have maximum impact per choice being made there on forward. And if you'd like to truly insulate yourself for the coming wave of more advanced surveilance and AI, it's one of the best times to jump in and show up where others are quitting on the learning process.

AI Slop Slop Special 🌯

What is the slop layer of an application
How does understanding Granularity and AI harnesses fix this issue
What Can I do?

What is the slop layer? As the AI craze has been increasing and becoming the new fad in tech. Many companies had the illusion that they could just slap together an LLM with agentic logic and have it churning out production-ready code better than any mid-level dev. So like any good corporation, they did mass layoffs shortly after that. The reality is agentic systems rely on memory and data vectors to learn and improve. But without a harness which is kind of the technology we're going to learn today. they can often get stuck in buggy loops and have less than optimized config for context window size, algorithm implementation, and disjointed communication between teams and developing the granular spec of features. What is the power of Granularity? If you take nothing else away from this course, the granularity of fine-tuning your AI and saving those results will solidify high quality training data that will propel your agents forward. Before you jump into a full-fledged 24 hour fully autonomous agentic system with orchestrators and sub-agents or even a full Agent swarm with data hand-off ability and synthesis capabilities.. First we need to start off right in the terminal. This is the best way to get closer to the bits and the bytes as we execute commands that get transpiled and actively converted while in runtime environments. This is the place for instant execution, where a program is a recipe that we're saving for later and will often get compiled before it can get run (depending on the language and where it's being run). As we'll explore in further sections, learning how to harness the power of the Command Line or often called the terminal and generating your own style of systems thinking. You can over months and years catch up and even surpass developers by leveraging the concept of playing the N of Zero Game. By producing never-before-seen unique systems with your own life purpose and inspiration baked in, I believe that we can pass up many of the people who sit in research labs and always play it safe. Sure no one person can surpass giant corporations that have infinite resources and testing capabilities, but with brilliance in breaking away from the pack and having grit beyond the majority of half-baked ideas and execution, I'm certain that the most millionaires and billionaires are going to be minted in the next decade by ambitious people who can fuse AI into non-AI businesses and social infrastructure. The last thought here is that less is more.. the illusion of action with harnessing AI will create a mess that maybe you don't want to look at later and will create debug sessions if you don't have that initial clarity.

Vibe Coding

The Okayest Starting Point
Can't see what the AI is thinking at all times
Human Intelligence Still Counts
Creates dependency on paying devs if all of a sudden you get a bajillion users

Imagine how much easier longterm success could be without having to pay someone else to fix it when it breaks. What do you guys think Hacker Mode Code is referring to here? Does anybody vibe code here but also utilize the hacker mode code? Tell me if you know. - Vibe coding with gemini, claude code, cursor, lovable, base44 and more is a great way to get started when you have the spark to create an instant win when you have an idea. - The biggest issue is that you can't see what the AI is doing. ASK why is this a problem? - Also if you're just the idea man but don't have the ability to adjust and refine things then you're discounting your hidden aptitude and potential. - It wrongly teaches you to accept bugs that are hard to fix. And unless you have a boatload of money to send to someone else to fix it, you're stuck with the issue.

Your Pipeline: AI in the Age of Attack Vectors

Why does it seem like our passwords get leaked so often?

Harvest-Now-Decrypt-Later Attack
Scaling data and the pathways of attack
China, Russia, North Korea — less regulation, more advanced malware
StuxNet: a case study

Your pipeline, in this context, is any public platform you choose to host and serve your app in production. But what happens when your user base jumps from a hundred to ten thousand overnight, and the pipeline can’t handle the load? These days, companies prioritize shipping quickly and maximizing margins. That means IT teams are constantly scrambling to secure apps and patch vulnerabilities. Large databases with sensitive information become prime targets when scaling happens fast. Hackers and scammers exploit this, exfiltrating and leaking data into the underground. Let’s break this down: First, avoid “vibe coding.” (SLow down here)When you vibe code, you’re essentially leaving a dozen open USB ports in your codebase for the world to access. You’re trusting unknown code from different sources to enter your system without scrutiny. In the famous instance of Stuxnet at an iranian nuclear weapons facility. It all began with a spy leaving an infected USB stick in the parking lot of Iran’s Natanz nuclear facility. A worker picked it up, plugged it in, and the malware executed immediately. Then, it spread silently. Stuxnet copied itself across networks, jumped to other machines, and infected more USB drives. It even used stolen digital certificates to appear legitimate. Its target? Siemens Step7 software with a known vulnerability, controlling centrifuges. When found, Stuxnet hijacked the programming tools and injected malicious code. The result was catastrophic. Centrifuges spun too fast, then too slow, cracking and failing. Meanwhile, the malware sent normal readings to monitoring systems. Over a thousand centrifuges were destroyed before anyone noticed. Fast forward to today. One million customer records exist in databases. Hackers target companies storing millions of passwords. Scaling your services involves APIs and load balancers. One exposed endpoint can route traffic to backend systems holding ten million user profiles. Your infrastructure might rely on a dozen cloud vendors for storage, authentication, and analytics. Each integration sends data through external servers. Data replicates across regions and caches at edge locations, spanning thousands of nodes where packets can be intercepted. We’ll cover security practices in more detail later, but keep this in mind: if you see someone vibe coding on their laptop, slap it off of the table. Save them a headache before it’s too late.

- Arnold imitation, he created a vision - Starting from the end and mapping out the sequence of steps.. being willing to pay the price and take response-ability, your ability to respond to when things are not always a flow experience or even starting when you don't always feel ready. - As you find the scope or the range that your app is going to operate, which platform, what are the specification and features, you can very easily model other examples and boilerplate code where others have decided on a language that works the best. - TS is an extension and literally converts back to vanilla JS in the transpiler runtime. It fights coersion of values with strong typing, and is a great way to learn some Strong OOP security concepts without learning OOP itself. If you want to go deep into robustness and get the full enchilada you can explore more complex or mathematical lower level languages, pointers, garbage collection, memory allocation at the hardware level, and basically CS at it's best. - Learning how to learn goes along with your unique learning style to retain and pickup information that may ordinarily be rote, basic, or boring but spruce it up a bit. And the most important thing to remember is that trial and error is the best way to program new understanding into your mind. (audio, visual, read/write, kinesthetic hands on) - A readme is a plain text document in markdown format that allows you to slip into the mind of the creator. You'll find them on virtually all well-maintained repositories if they don't already have other documentation.

Reading the Docs

Let's Go Through The Docs

Syntax Reps

API Keys and .envs, No Hardcoding Ever

Varlock

Unix and Bash/ZSH

Unix, everything is a file

command line is your Narnia (Linux OS)

What is a runtime environment(JS/PY in VM mode)

Cheat Sheet in Gist


									# Navigate directories
									cd ~/projects/my-app

									# List files with details
									ls -la

									# Run your app
									npm start

- Feel free to explore mod G in story mode and checkout the lesson on bash. - Unix started the Everything is a file methodology in 1969 in order to find a way to centralize an OS for the massive fridge sized PDP "mini-computers" of the day. This gives you organized and central focus and command of everything that is happening on and through your computer and network to beyond - Now windows, mac, and linux are based off of this methodology and while there are better options of which is best and personal preferences, all OS has been shown to be easily backdoored if running on a motherboard with a computer management system often called the BMC. For a true LibreCompute you essentially have to airgap your work or buy from independent hardware makers. - Going back to the Hacker mode code, the command line or the terminal is your direct access into the machine for all operations and a portal to ping across the internet, you can test the health of a server, access your app securely across the web with SSH, and get more personalization out of your computer. It's the essential portal to all package managers and spawning a local dev server before shipping to prod. Check out the cheat sheet of commands in the gist as this will help you explore our VM Mode coming when you guys get going on building your apps, next is git for which is already connected to the technyc.io on github so you can track your changes, modifications and commits on git command line operations for tracking version and codebase management. - What is a runtime environment, for JavaScript and Python you can install the correct dependencies and run your app within the terminal and get direct output or spawn a local host to mimic a website version of your app. Whereas with JS and TS in the browser runs almost instantly, you can simulate the same environment as the browser by using the terminal using a Dev ENV file config. This dev env config tells the app where to open a server port and how to simulate in the scope of testing out your app to try experimental options and features where as in production you want to isolate and protect that env config from being directly accessed from a website or a phone app.

Let's Git started

BASE MODE, Giant Button

Track changes and collaborate with others
Commit often with meaningful messages
Branch for features, merge when ready
Push to remote repositories (GitHub, GitLab)

Take a Break & Strudel.cc

OpenCode: Replace the Vibe

Finally, I can see what the AI is Thinking (At all Times, kinda)

Plan VS Build Mode, LLMs, and Variants
Model Quirks, Pay Per Req
Prompt Engineering 101
Debug Time, Console.log("Your best friend!") 🥳

Using AI to create the AI, Promptception..

A global AGENTS.md or CLAUDE.md file is your best friend
Everything is Templatized!
Using ChatGPT to refactor

Syntax: Containers for Meaning

Think of syntax as boxes that hold logic


						// Simple variable
						let name = "value";

Scope is like building floors


						// Global scope (entire building)
						let globalVar = "everyone can see";

						function myFunction() {
						  // Local scope (one floor)
						  let localVar = "only this floor";
						}

What is syntax... how to read it like English, logic vs intuition. The definition of syntax in a broad sense are the set of rules in any language that dictates how words and phrases are arranged to create meaningful sentences and correctly convey ideas. But also writing your syntax in modular files allows you to separate code, keep things organized and also to separate global and local scope. Think of scope as elevators and escalators up levels — sometimes there is a global scope that is shared and inherited from the top local scopes and other times you want to keep the meaning and the modularity just imported on one or a couple of building floors. Each floor represents the scope or the containment within your app state, and so you can have the global overall app state and then simultaneously have containment and smaller substates that operate within the whole and make different features and processes available at will or concurrently to all of this. Learn how to learn - this is the key. Don't get overwhelmed by trying to memorize everything. Learn as you build.

Generating an Idea Worth Your Time

What problem am I solving?

Fewer thoughts creates more mental clarity

Having good intentions, that inspirational spark

Detaching from outcomes and not being afraid to debugf

You are the Chef, Algos and Programs

Exercise: Meditate In Motion, Building a spec

Reverse Engineering, what features are in my app
Who are the people using my app
If I was proficient in any framework/tool?
DeepSeek for Spec (flowcharts)

What is a Spec? Think of it as when a team of software engineers get a chance to meet face to face with a client to build out the specification and features for the app. This includes UX/UI which is the user interface, what the features or functional parts of the app look like in the UI and what they do, and also any other requirements on compute, logistics, cost and other considerations or special designs. FOLLOW ALONG, show them in DeepSeek how to create a full spec for an app, then feed it to an AI and prompt the AI to break it down into granular tasks. Then have everone break off and brainstorm ideas and if you have a computer to practice have them go to Chat.deepseek.com to prompt the AI for getting the specs in line, and creating flowcharts for enhanced visualization.

Break off into teams for VM + Choose your own adventure

Ask me to Create Private Repo for Git if you'd like to save your work

Master Agentic AI

Start with OpenClaw (Clawdbot)
Find an agentic structure and build it
Killswitches, training data, and fine-tuning

Creating agents and automation is how you multiply your productivity. TYPES OF AUTOMATION: 1. SIMPLE SCRIPTS: - Data processing - File management - API calls and data syncing 2. SCHEDULED JOBS (Cron): - Run backups at 3am - Generate daily reports - Clean up old data 3. AI AGENTS: - LangChain: Chain multiple AI calls together - AutoGPT: Autonomous task execution - Custom agents with OpenAI API 4. MONITORING & ALERTS: - Health checks - Error notifications (email, Slack, SMS) - Performance monitoring BENEFITS: - Work gets done while you sleep - Consistency and reliability - Free up time for creative work - Scale beyond your personal capacity EXAMPLES: - Social media posting bot - Data scraping and analysis - Customer support chatbot - Code review automation - Testing and deployment pipelines Start small: automate one task this week. Then build from there. The compound effect of automation is massive.