The Definitive Guide for Sales People to Learn Vibe Coding

#1: You want to make money. If the buyer needs a feature and you cannot do anything about it, you lose leverage. AI changes that. It gives you a way to show something, validate something, or at least make the customer feel heard before the deal dies.

#2: You want to keep making money. Future proof your career. The secret with AI is that it makes you better at other jobs, not just your own. That matters because the reps who can translate a buyer need into a prototype or a crisp product case are harder to replace.

#3: It's so much damn fun, it's literally addicting. Creating is fun. People who used to code say the reward cycle is back, only faster. If you have spent years in a role where you mostly explain problems you cannot solve, building something is a different kind of brain chemistry.

I assume you are already using ChatGPT, AI in your existing products, and maybe even Claude or Codex. That's covered in the 101 course that everyone has created. This is the next level. If you get through these projects, you can do anything except coordinate multiple AI agents working well autonomously. I haven't figured that one out yet.

The whole point is to move from consumer of AI output to operator of AI workflows. That means building tiny things, understanding what they do, and reusing the same muscles in customer conversations.

No bullshit: I will only walk through the things I do and that work for me. Other things make work for other people, but they don't for me.

Practical: theory will sometimes come in, but this will mostly be lessons and ideas you can use right now.

Swearing: I will swear. If you do not like it, let me know, I'll try to do it less.

I have no paid deals with anyone or anything. Arkweaver is my company, and I will mention it. This problem and you are why I'm building Arkweaver.

That matters because the whole reason this page exists is not to pretend sales reps should become engineers overnight. It is to show that the wall between selling and building got thinner, and the revenue consequences are real.

Question you may ask: We have programs that do this AI stuff, why am I building my own? AI, more than anything, is learning by doing. You cannot take a course, it will be outdated within a month. The only thing you can do is do.

Question 2 you may ask: is this just AI slop? Your GD right some of it is! My fingers hurt. I got kids and a company to run so I will use AI sometimes.

Here are the things I use. If you want to use Claude Cowork or whatever that's fine. But do not over think this, you will get AI Fomo.

I want to start you with something to get you over your fear.

Type to Codex or Claude: how do I add this to GitHub? assume I'm a complete novice. If it gives you a wall of text, don't be intimidated. That's what happened to me, so I replied, "Whoa way too hard, can you do it for me."

It will walk you through some steps. You will have to create a GitHub account. Do it. Conquer your fear. It means more money.

Then sign up for Vercel. Connect the GitHub you created. It will create a link for your app. Now other people can actually use your work.

There are a ton of LinkedIn posts with best practices for this and I've tried damn near all of them. Here's my experience. Not to call out these companies because other people get a lot of use out of them. Could be the user, i.e. me, who messed up.

What works for me:

What doesn't work:

What works for me:

What doesn't work for me:

What works for me:

What doesn't work for me:

Goal: I like to follow up with people on their LinkedIn after I've emailed them. It's the red billboard theory of making sure they see you many times. I don't trust a machine to do it.

What my automation does: it looks at who I emailed yesterday, looks at a spreadsheet of all the people I'm targeting, creates a webpage with their profiles and recent activity, and opens it for me so I can comment where relevant.

This is advanced. It involves API keys, which is where this stuff gets intimidating. But if you stick with it, it unlocks lots of workflows.

This is where the massive gains are. If you are reading this, you are probably a pretty good sales person. So anything to optimize your existing sales will have marginal impact because you have already done a lot of it.

The goal isn't to make you a good Product Manager or Developer. It's to make you an average one. That will go incredibly far and it's exactly what AI is good at.

The #1 reason you are losing a deal is lack of features. What does that mean in practice? How do you solve it? You need to nail what the customer is asking for and convince engineers that it is worthwhile to build now.

This is what a product manager does. You can do that now.

Step 1: take a screenshot of your product and ask Codex to recreate it as an HTML front end with fake data. Step 2: look at the differences. The icons are probably a little different or missing. The order isn't 100 percent correct.

That is why a prototype is only step one. If you send this to an engineer, they need to know exactly which parts you meant to change, which were AI mess ups, and which AI changed with you.

Ask questions like a product manager. What problem does this help you solve? It will be hard to convince my team, but if we build this will you sign? Do any of our competitors do this?

Then make a case to your eng/product with this product we created. Try to find 2 other customers who want this.

How valuable a feature is matters. The other thing that matters is how hard it is to achieve that feature. The benefit of building a feature yourself is that you get a pretty good idea how hard it is to build.

Keep an eye on how many files were changed. That's a decent proxy for complexity. Most importantly, your eng team will be able to see the complexity of the feature.

"I want to be a manager, I just need the chance man!" Manage yourself. No seriously. Upload your sales transcripts every time and have ChatGPT give you a grade.

Create criteria to judge yourself. Did you follow your methodology? Did you ask the right questions? How likely is the customer to close? Then get better every call.

AI is never satiated. Don't think of it like a game with a clock that you can win. It's a game that keeps changing the rules. Use it, don't let it use you.

Look, I'm not here to tell you that typing a few prompts into a chat box is going to turn you into Mark Zuckerberg. That is the kind of AI slop the gurus are peddling.

What I am telling you is that the wall between "I sell the thing" and "I build the thing" has been knocked down to a hurdle. If you're tired of losing deals because your product is missing a button, or if you're terrified that a GPT-wrapper is coming for your commission, there is only one move: start doing.

Build a shitty app. Break the terminal. Get your hands dirty with some code. Once you realize that code is just words and AI is just a tool to help you arrange them, you stop being a salesperson and start being a creator.