Repository Readme updates - API and SDK assist

readme.md

@@ -3,96 +3,57 @@
 <a  href=""  rel="noopener">
 <img  height=200px  src="assets/commanddash-logo.png"></a>
 </p>
-<h1 align="center">Dash AI</h1>
+<h1 align="center">CommandDash</h1>
 <div align = "center">
 
 [![VScode Downloads](https://img.shields.io/visual-studio-marketplace/d/WelltestedAI.fluttergpt)](https://marketplace.visualstudio.com/items?itemName=WelltestedAI.fluttergpt&ssr=false#overview) [![License: APACHE](https://img.shields.io/badge/License-APACHE%202.0-yellow)](/LICENSE)
 </div>
 
-<h3 align="center">Your Flutter AI Autopilot powered with Gemini Code & Vision</h3>
+<h3 align="center">Skip documentation, upgrade to IDE agents</h3>
 <img src="/assets/docs/poster.jpg"></a>
 
 -----------------
-Dash AI is an open-source coding assistant being built for Flutter Devs. It is aimed to not only write code, but also run and debug it. **This allows Dash AI to assist beyond code completion, and autopilot routine tasks for you.** 
+Modern software is built on top of 3rd party APIs and SDKs. But integrating them is time consuming, requiring to manually read docs and copy-paste snippets.
 
+[CommandDash](https://commanddash.io) enables you to **skip reading documentation, and integrate any API or SDK with an IDE agent upto date with latest documentation, examples and issues.**
 
-- ✨ Powered by Gemini
-- 🤝 Integrated Dart Analyzer
-- 👨🏼‍💻 For and by Flutter Engineers
 <p align="center">
-<img src="https://media.giphy.com/media/T4ZnPW67QbajS5z4nU/giphy.gif" alt="Chat with Gemini inside VSCODE" width="500"/>
+<img src="assets/docs/agent-usage.gif" alt="Chat with Gemini inside VSCODE" width="500"/>
 </p>
 
-Our vision is to build a single-command assistant that automates tedious development tasks. Enabling both seasoned and beginner Flutter devs to focus on the creativity and innovation, bringing their app ideas to life faster.
+##### 🙌🏼 Open Marketplace of IDE Agents
+##### 🎯 Supports every programming language
+##### 💙 Free to every developer.
 
-## The Mini-Engineer Vision
+Our vision is to enable developers to seamlessly integrate APIs and SDKs without leaving their IDEs. 
 
-Engineering a feature for an app requires multiple iterations of writing code, running tests and debugging to meet the end-user requirements. Dash AI is designed to assist you through the entire process.
+## FAQs
 
-Imagine asking: *"Implement this JIRA ticket for me"*
+1. **How safe and secure is it to use, and can you explain why?**
+- CommandDash is powered by Google's  Gemini Models and is secure to use for personal usage or work - [Safety and Security Guidelines](https://blog.google/technology/ai/google-gemini-ai/#responsibility-safety)
 
-```mermaid
-graph TD
-A(Dash AI)
-A --> |Select relevant code| B(Break the task into steps)
-B --> |For each step|C{Refactor code}
-C --> |Generate| D(Exploratory Tests)
-D --> |Tests Fail| C
-D --> |Fails  > 3 times| E(Human Overrides)
-E -->|Passes| F(Move to next step)
-D -->|Passes| F(Move to next step)
-F -->|All completed| G(Voila! Task Accomplished)
-```
+2. **Do I need to pay to use CommandDash?**
 
-We have been able to build internal MVPs of such capablilties in a copilot. And are now sharing a roadmap with the community to make it available in production for everyone.
+- Gemini Flash 1.5 offers both free and paid plans. Please check the [pricing](https://ai.google.dev/pricing) here. 
+    The free plan suffices for using CommandDash 🥳
 
-## Roadmap
-
-To build a mini-engineer with human developer like abilities, we need to provide Gemini LLMs the same access and information that we human devs have. This includes:
-
-<img src="assets/llm-matching-human-capabilities.png"></a>
-
-**1. Full Contextual Knowledge**
-To perform a task, humans or LLMs both need to understand the complete contextual code. This could be accomplished by integrating with Dart analyzer and embedding matching.
-
- - [x] Dart Analyzer Integration 
- - [x] Manually attach code objects.
- - [x] Basic auto code extraction.
- - [x] Semantic match similar documents.
- - [ ] Advanced auto code extraction.  
- - [ ] Auto identify file groups based on command.
-
-**2. Latest Syntax and Dependencies Data**
-To keep up with evolving programming languages and coding practices, we'll use Retrieval Augmented Generation (RAG). This will ensure our Language Models can produce up-to-date code. By integrating the latest information and working with the community, we aim to build the most robust Flutter dataset.
-
- - [ ] Allow generative search across pub.dev.
- - [ ] Refer latest trusted sources for documentation. 
- - [ ] Output code for the dependency version installed in the project. 
- - [ ] Allow mechanism to update to latest dependency versions. 
- - [ ] Choose from a range of trusted code practices and architecture styles.
-
-**3. Ability to Write, Run and Debug Code**
-Modern LLMs are multimodal, understanding text, code, visuals, and even audio. When connected to Dart Tools (analyzer, debugger, devtools) and Dart Runtime (VM), they can leverage their multimodal capabilities to not only write code but also:
-
- - [ ] Write code across multiple files.
- - [ ] Run the tests or app by itself. 
- - [ ] Read the console logs and iterate code.
- - [ ] Observe to device screen (multimodality) and interact with the app, to verify if features are met.
-
-This allows us to mimic developer behavior and automate large-scale tasks in their entirety. We are setting a timeline of 4-6 months to achieve all of the above milestones.
+3. **I am an Android Studio user. Can I use CommandDash?**
+- We are coming soon for IntelliJ-based IDEs. *🤫 Secret: most of our core logic is written in Dart, shipped as an executable, allowing us to ship on any platform very fast!*
 
 ## Contributing
 
-A coding assistant for all is best built when all of us contribute. You can make contributions to the VSCODE or IntelliJ extension or also to [CommandDash CLI](https://github.com/Welltested-AI/commanddash) shared between the extensions.
+You can make contributions to the VSCODE or IntelliJ extension or also to the shared [engine](https://github.com/CommandDash/packages).
 
-### Ways to contribute
+-  **File feature requests**: Suggest features that'll make your development process easier in the [issues board](https://github.com/CommandDash/commanddash//issues).
 
--  **File feature requests**: Suggest features that'll make your development process easier in the [issues board](https://github.com/Welltested-AI/fluttergpt/issues).
+-  **Pick up open issues**: Pick up and fix existing issues open to the community in [issues board](https://github.com/CommandDash/commanddash/issues).
 
--  **Pick up open issues**: Pick up and fix existing issues open to the community in [issues board](https://github.com/Welltested-AI/fluttergpt/issues).
-
--  **Participate in discussions**: Help by sharing your ideas in the [active discussions](https://join.slack.com/t/welltested-ai/shared_invite/zt-25u09fty8-gaggH9HbmopB~4tialTrlA) in our community slack.
+-  **Add agents to the marketplace**: You can add agents for your most used APIs or SDKs and share it with others to help them easily integrate. [Quickstart](https://www.commanddash.io/docs/quickstart).
 
 ## Community
 
-Connect with like minded people building with Flutter and using AI to do so, every step of the way :D [Join Now](https://join.slack.com/t/welltested-ai/shared_invite/zt-25u09fty8-gaggH9HbmopB~4tialTrlA)
+Connect with others using or publishing agents on CommandDash [Join Now](https://join.slack.com/t/welltested-ai/shared_invite/zt-25u09fty8-gaggH9HbmopB~4tialTrlA) 👋🏼
+
+## License
+
+CommandDash is released under the Apache License Version 2.0. See the [LICENSE](LICENSE) file for more information.