VS Code + PH launch banners

README.md

@@ -1,14 +1,20 @@
 # 🧑‍✈️ GPT PILOT
 
-<a href="https://trendshift.io/repositories/466" target="_blank"><img src="https://trendshift.io/api/badge/repositories/466" alt="Pythagora-io%2Fgpt-pilot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-
-### GPT Pilot helps developers build apps 20x faster
+<a href="https://trendshift.io/repositories/466" target="_blank"><img src="https://trendshift.io/api/badge/repositories/466" alt="Pythagora-io%2Fgpt-pilot | Trendshift" style="width: 250px; height: 55px; margin-right: 10px;" width="250" height="55"/></a>
+<a href="https://www.producthunt.com/posts/gpt-pilot-2?utm_source=badge-featured&utm_medium=badge&utm_souce=badge-gpt&#0045;pilot&#0045;2" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=425615&theme=light" alt="GPT&#0032;Pilot - First&#0032;ever&#0032;REAL&#0032;AI&#0032;developer&#0032;inside&#0032;an&#0032;IDE&#0033; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+### GPT Pilot is a true AI developer that writes code, debugs it, talks to you when it needs help, etc.
 
 You specify what kind of app you want to build. Then, GPT Pilot asks clarifying questions, creates the product and technical requirements, sets up the environment, and **starts coding the app step by step, like in real life, while you oversee the development process**. It asks you to review each task it finishes or to help when it gets stuck. This way, GPT Pilot acts as a coder while you are a lead dev who reviews code and helps when needed.
 
 ---
 
-If you would like to get updates on future releases or just get in touch, you [can add your email here](http://eepurl.com/iD6Mpo).
+<a href="vscode:extension/PythagoraTechnologies.gpt-pilot-vs-code" target="_blank"><img src="https://github.com/Pythagora-io/gpt-pilot/assets/10895136/5792143e-77c7-47dd-ad96-6902be1501cd" alt="Pythagora-io%2Fgpt-pilot | Trendshift" style="width: 185px; height: 55px;" width="185" height="55"/></a>
+
+GPT Pilot is the core technology for the [VS Code extension](https://marketplace.visualstudio.com/items?itemName=PythagoraTechnologies.gpt-pilot-vs-code) that aims to provide **the first real AI developer companion**. Not just an autocomplete or a helper for PR messages but rather a real AI developer that can write full features, debug them, talk to you about issues, ask for review, etc.
+
+---
+
+📫 If you would like to get updates on future releases or just get in touch, you [can add your email here](http://eepurl.com/iD6Mpo). 📬
 
 ---
 
@@ -64,6 +70,10 @@ https://github.com/Pythagora-io/gpt-pilot/assets/10895136/0495631b-511e-451b-93d
 
 
 # 🚦How to start using gpt-pilot?
+👉 If you are using VS Code as your IDE, the easiest way to start is by downloading [GPT Pilot VS Code extension](https://marketplace.visualstudio.com/items?itemName=PythagoraTechnologies.gpt-pilot-vs-code). 👈
+
+Otherwise, you can use the CLI tool.
+
 After you have Python and (optionally) PostgreSQL installed, follow these steps:
 1. `git clone https://github.com/Pythagora-io/gpt-pilot.git` (clone the repo)
 2. `cd gpt-pilot`
@@ -219,18 +229,6 @@ Here are a couple of example apps GPT Pilot created by itself:
 
 <br>
 
-# 🏛 Main pillars of GPT Pilot:
-1. For AI to create a fully working app, **a developer needs to be involved** in the app creation process. They need to be able to change the code at any moment, and GPT Pilot needs to continue working with those changes (e.g., add an API key or fix an issue if an AI gets stuck). <br><br>
-2. **The app needs to be written step by step as a developer would write it** - Let's say you want to create a simple app, know everything you need to code, and have the entire architecture in your head. Even then, you won't code it out entirely, then run it for the first time and debug all the issues simultaneously. Instead, you will implement something simple, like add routes, run it, see how it works, and then move on to the next task. This way, you can debug issues as they arise. The same should be the case when AI codes. It will make mistakes for sure, so in order for it to have an easier time debugging issues and for the developer to understand what is happening, the AI shouldn't just spit out the entire codebase at once. Instead, the app should be developed step by step just like a developer would code it - e.g. setup routes, add database connection, etc. <br><br>
-3. **The approach needs to be scalable** so that AI can create a production-ready app:
-   1. **Context rewinding** - for solving each development task, the context size of the first message to the LLM has to be relatively the same. For example, the context size of the first LLM message while implementing development task #5 has to be more or less the same as the first message while developing task #50. Because of this, the conversation needs to be rewound to the first message upon each task. [See the diagram here](https://blogpythagora.files.wordpress.com/2023/08/pythagora-product-development-frame-3-1.jpg?w=1714).
-   2. **Recursive conversations** are LLM conversations set up to be used “recursively”. For example, if GPT Pilot detects an error, it needs to debug it, but let’s say that another error happens during the debugging process. Then, GPT Pilot needs to stop debugging the first issue, fix the second one, and get back to fixing the first issue. This is a very important concept that, I believe, needs to work to make AI build large and scalable apps by itself. It works by rewinding the context and explaining each error in the recursion separately. Once the deepest level error is fixed, we move up in the recursion and continue fixing that error. We do this until the entire recursion is completed.
-   3. **TDD (Test Driven Development)** - for GPT Pilot to be able to scale the codebase, it will need to be able to create new code without breaking previously written code. There is no better way to do this than working with TDD methodology. For each code that GPT Pilot writes, it needs to write tests that check if the code works as intended so that all previous tests can be run whenever new changes are made.
-
-The idea is that AI won't be able to (at least in the near future) create apps from scratch without the developer being involved. That's why we created an interactive tool that generates code but also requires the developer to check each step so that they can understand what's going on and so that the AI can have a better overview of the entire codebase.
-
-Obviously, it still can't create any production-ready app but the general concept of how this could work is there.
-
 # 🏗 How GPT Pilot works?
 Here are the steps GPT Pilot takes to create an app: