Add links to roadmap issues from README, Getting-Started, Contribute and Tutorial

README.md

@@ -57,6 +57,11 @@ AutoGen is a framework that enables the development of LLM applications using mu
 
 AutoGen is powered by collaborative [research studies](https://microsoft.github.io/autogen/docs/Research) from Microsoft, Penn State University, and the University of Washington.
 
+## Roadmaps
+
+To see what we are working on and what we plan to work on, please check our
+[Roadmap Issues](https://github.com/microsoft/autogen/issues?q=is%3Aopen+is%3Aissue+label%3Aroadmap).
+
 ## Quickstart
 The easiest way to start playing is
 1. Click below to use the GitHub Codespace

website/docs/Contribute.md

@@ -24,6 +24,11 @@ This project has adopted the [Microsoft Open Source Code of Conduct](https://ope
 For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
 contact [[email protected]](mailto:[email protected]) with any additional questions or comments.
 
+## Roadmaps
+
+To see what we are working on and what we plan to work on, please check our
+[Roadmap Issues](https://github.com/microsoft/autogen/issues?q=is%3Aopen+is%3Aissue+label%3Aroadmap).
+
 ## How to make a good bug report
 
 When you submit an issue to [GitHub](https://github.com/microsoft/autogen/issues), please do your best to

website/docs/Getting-Started.mdx

@@ -1,5 +1,5 @@
-import Tabs from '@theme/Tabs';
-import TabItem from '@theme/TabItem';
+import Tabs from "@theme/Tabs";
+import TabItem from "@theme/TabItem";
 
 # Getting Started
 
@@ -13,16 +13,15 @@ tools.
 
 ### Main Features
 
-
 - AutoGen enables building next-gen LLM applications based on [multi-agent
   conversations](/docs/Use-Cases/agent_chat) with minimal effort. It simplifies
   the orchestration, automation, and optimization of a complex LLM workflow. It
   maximizes the performance of LLM models and overcomes their weaknesses.
 - It supports [diverse conversation
-patterns](/docs/Use-Cases/agent_chat#supporting-diverse-conversation-patterns)
-for complex workflows. With customizable and conversable agents, developers can
-use AutoGen to build a wide range of conversation patterns concerning
-conversation autonomy, the number of agents, and agent conversation topology.
+  patterns](/docs/Use-Cases/agent_chat#supporting-diverse-conversation-patterns)
+  for complex workflows. With customizable and conversable agents, developers can
+  use AutoGen to build a wide range of conversation patterns concerning
+  conversation autonomy, the number of agents, and agent conversation topology.
 - It provides a collection of working systems with different complexities. These
   systems span a [wide range of
   applications](/docs/Use-Cases/agent_chat#diverse-applications-implemented-with-autogen)
@@ -75,7 +74,6 @@ user_proxy.initiate_chat(
     </TabItem>
     <TabItem value="docker" label="Docker execution" default>
 
-
 ```python
 from autogen import AssistantAgent, UserProxyAgent
 from autogen.coding import DockerCommandLineCodeExecutor
@@ -112,27 +110,33 @@ Open `coding/plot.png` to see the generated plot.
 Learn more about configuring LLMs for agents [here](/docs/topics/llm_configuration).
 :::
 
-
-
 #### Multi-Agent Conversation Framework
+
 Autogen enables the next-gen LLM applications with a generic multi-agent conversation framework. It offers customizable and conversable agents which integrate LLMs, tools, and humans.
 By automating chat among multiple capable agents, one can easily make them collectively perform tasks autonomously or with human feedback, including tasks that require using tools via code. For [example](https://github.com/microsoft/autogen/blob/main/test/twoagent.py),
 
 The figure below shows an example conversation flow with AutoGen.
 
 ![Agent Chat Example](/img/chat_example.png)
 
-
 ### Where to Go Next?
 
-* Go through the [tutorial](/docs/tutorial/introduction) to learn more about the core concepts in AutoGen
-* Read the examples and guides in the [notebooks section](/docs/notebooks)
-* Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat) and [enhanced LLM inference](/docs/Use-Cases/enhanced_inference)
-* Read the [API](/docs/reference/agentchat/conversable_agent/) docs
-* Learn about [research](/docs/Research) around AutoGen
-* Chat on [Discord](https://discord.gg/pAbnFJrkgZ)
-* Follow on [Twitter](https://twitter.com/pyautogen)
+- Go through the [tutorial](/docs/tutorial/introduction) to learn more about the core concepts in AutoGen
+- Read the examples and guides in the [notebooks section](/docs/notebooks)
+- Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat) and [enhanced LLM inference](/docs/Use-Cases/enhanced_inference)
+- Read the [API](/docs/reference/agentchat/conversable_agent/) docs
+- Learn about [research](/docs/Research) around AutoGen
+- Chat on [Discord](https://discord.gg/pAbnFJrkgZ)
+- Follow on [Twitter](https://twitter.com/pyautogen)
+- See our [roadmaps](https://github.com/microsoft/autogen/issues?q=is%3Aopen+is%3Aissue+label%3Aroadmap)
 
 If you like our project, please give it a [star](https://github.com/microsoft/autogen/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/Contribute).
 
-<iframe src="https://ghbtns.com/github-btn.html?user=microsoft&amp;repo=autogen&amp;type=star&amp;count=true&amp;size=large" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
+<iframe
+  src="https://ghbtns.com/github-btn.html?user=microsoft&amp;repo=autogen&amp;type=star&amp;count=true&amp;size=large"
+  frameborder="0"
+  scrolling="0"
+  width="170"
+  height="30"
+  title="GitHub"
+></iframe>

website/docs/tutorial/what-next.md

@@ -36,6 +36,7 @@ our [Discord Server](https://discord.gg/pAbnFJrkgZ).
 
 ## Get Involved
 
+- Check out [Roadmap Issues](https://github.com/microsoft/autogen/issues?q=is%3Aopen+is%3Aissue+label%3Aroadmap) to see what we are working on.
 - Contribute your work to our [gallery](../Gallery)
 - Follow our [contribution guide](../Contribute) to make a pull request to AutoGen
 - You can also share your work with the community on the Discord server.