Oct 31, 2024 · Oct 21, 2024 · Oct 21, 2024 · Oct 30, 2024 · Oct 30, 2024 · Oct 31, 2024
diff --git a/docs/Future Development.md b/docs/Future Development.md
 ---
 id: Get Started
 title: Get Started
 sidebar_label: Future Developments
 sidebar_position: 1
 description:
  CodeRabbit is an AI-powered code reviewer offering real-time, context-aware
  feedback on pull requests, reducing manual effort in code reviews.
 slug: "/"
 ---

 # 🚀 Future Developments

 We are actively iterating and refining CodeRabbit, and this is a sneak peek into the upcoming milestones and releases. We are focused on making the Applied AI review better than the median manual review. In addition to that, we are looking at a holistic user experience with various integrations and types of reviews.

 ## 🧠 Applied AI Improvements

 We are actively trying to make the application of Generative AI more useful , relevant , meaningful for the coder and reviewer journey. Our immediate focus is

 ### 🎯 Accuracy and Conciseness Enhancements

 - 📝 Refining knowledge base context understanding
 - 📊 Implementing advanced summarization techniques
 - 🔄 Implementing a knowledge base feature library

 ### 🧠 Learning Refinements

 - 🔁 We have made significant improvement of the learning Enhancing reinforcement learning based on the user feedback

 ## 🌟 New Feature Enhancements

 ### 🔗 Expanded Integrations

 We are integrating various tool chains to enable coders and reviewers to have a consistent experience irrespective of the tools. The immediate tools would be:

 - 🦊 **Bitbucket**
 - 🔄 **Circle CI**
 - 👨‍🔧 **Jenkins**

 ### 💬 Communication Tool Integrations

 Communication and the user experience of review via various communication tools are going to be key. We will start with integrations to Slack and Microsoft Teams and will be diving into the design engineering of these flows further:

 - 💬 **Slack**: Real-time notifications and interactive discussions
 - 👥 **Microsoft Teams**: Code review conversations within Microsoft ecosystem

 ### 🔍 Enhanced Review Capabilities

 These are additional capabilities that can also be reviewed in the same PR to accelerate the coder and reviewer journey. This includes pipeline failure analysis and resolution, as well as vulnerability assessment.

 #### 1. 🔬 Pipeline Failure Analysis

 - 🚨 Automated analysis of CI/CD pipeline failures
 - 💡 AI-driven suggestions for resolving issues
 - 📊 Historical tracking of pipeline performance

 #### 2. 🛡️ SAST (Static Application Security Testing) Integration

 - 🔒 Security-focused code reviews
 - 📋 Custom rule sets for different security standards

 ### 🚀 Finishing Touches

 Finishing touches are about experience that often take developers time away from what they like doing best - coding. But adding finishing touches is crucial and should follow the ontology and taxonomy. We will start by looking into Docstring and expand to various areas to solve pain points for coders and reviewers.

 #### 1. 📝 DocString Review

 - ✅ Automated checks for docstring presence and quality
 - 💡 AI-powered suggestions for improving documentation
 - 🎨 Resolving Doc-string conflicts in a following PR

 > Disclaimer: any product roadmap features mentioned below are only meant to outline
 > our general product direction. This documentation is for informational purposes
 > only and may not be incorporated into any contract.
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		---
		id: Get Started
		title: Get Started
		sidebar_label: Future Developments
		sidebar_position: 1
		description:
		CodeRabbit is an AI-powered code reviewer offering real-time, context-aware
MonRay2024 marked this conversation as resolved. Show resolvedHide resolved
		feedback on pull requests, reducing manual effort in code reviews.
		slug: "/"
		---

MonRay2024 marked this conversation as resolved. Show resolvedHide resolved
		# 🚀 Future Developments

		We are actively iterating and refining CodeRabbit, and this is a sneak peek into the upcoming milestones and releases. We are focused on making the Applied AI review better than the median manual review. In addition to that, we are looking at a holistic user experience with various integrations and types of reviews.

		## 🧠 Applied AI Improvements

		We are actively trying to make the application of Generative AI more useful , relevant , meaningful for the coder and reviewer journey. Our immediate focus is
MonRay2024 marked this conversation as resolved. Show resolvedHide resolved

		### 🎯 Accuracy and Conciseness Enhancements

		- 📝 Refining knowledge base context understanding
		- 📊 Implementing advanced summarization techniques
		- 🔄 Implementing a knowledge base feature library

		### 🧠 Learning Refinements

		- 🔁 We have made significant improvement of the learning Enhancing reinforcement learning based on the user feedback
MonRay2024 marked this conversation as resolved. Show resolvedHide resolved

		## 🌟 New Feature Enhancements

		### 🔗 Expanded Integrations

		We are integrating various tool chains to enable coders and reviewers to have a consistent experience irrespective of the tools. The immediate tools would be:

		- 🦊 Bitbucket
		- 🔄 Circle CI
		- 👨‍🔧 Jenkins

		### 💬 Communication Tool Integrations

		Communication and the user experience of review via various communication tools are going to be key. We will start with integrations to Slack and Microsoft Teams and will be diving into the design engineering of these flows further:

		- 💬 Slack: Real-time notifications and interactive discussions
		- 👥 Microsoft Teams: Code review conversations within Microsoft ecosystem
MonRay2024 marked this conversation as resolved. Show resolvedHide resolved

		### 🔍 Enhanced Review Capabilities

		These are additional capabilities that can also be reviewed in the same PR to accelerate the coder and reviewer journey. This includes pipeline failure analysis and resolution, as well as vulnerability assessment.
MonRay2024 marked this conversation as resolved. Show resolvedHide resolved

		#### 1. 🔬 Pipeline Failure Analysis

		- 🚨 Automated analysis of CI/CD pipeline failures
		- 💡 AI-driven suggestions for resolving issues
		- 📊 Historical tracking of pipeline performance

		#### 2. 🛡️ SAST (Static Application Security Testing) Integration

		- 🔒 Security-focused code reviews
		- 📋 Custom rule sets for different security standards

		### 🚀 Finishing Touches

		Finishing touches are about experience that often take developers time away from what they like doing best - coding. But adding finishing touches is crucial and should follow the ontology and taxonomy. We will start by looking into Docstring and expand to various areas to solve pain points for coders and reviewers.

		#### 1. 📝 DocString Review

		- ✅ Automated checks for docstring presence and quality
		- 💡 AI-powered suggestions for improving documentation
		- 🎨 Resolving Doc-string conflicts in a following PR

		> Disclaimer: any product roadmap features mentioned below are only meant to outline
		> our general product direction. This documentation is for informational purposes
		> only and may not be incorporated into any contract.





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