CogniGitAI is an AI-powered software development assistant that helps developers code faster and smarter through natural language conversations. It will be built as a Ruby on Rails web application with React front-end.
Features
Conversational Interface: Users can have natural language conversations with CogniGitAI to get coding help, explanations, and project management assistance. Advanced NLP and NLU techniques enable seamless dialog.
Code Insights: CogniGitAI provides contextual recommendations and optimizations for code based on deep analysis of patterns, anti-patterns, dependencies, and potential issues.
Project Management: Users can delegate tasks, set reminders, and streamline workflows through conversations with CogniGitAI.
IDE Integrations: Tight integrations with IDEs like VSCode, Xcode, Eclipse provide in-workflow assistance through CogniGitAI.
Open Source: CogniGitAI will be licensed under MIT with public GitHub repo to foster community involvement.
Architecture
Frontend: React + Redux frontend with Material UI components
Backend: Ruby on Rails provides REST APIs
Database: PostgreSQL for relational data
Search: Elasticsearch for full-text search
NLP Pipeline: spaCy for linguistic analysis, HuggingFace Transformers for deep NLU
Deployment: Docker containers running on Kubernetes cluster with CI/CD pipelines
include comprehensive and exhaustive documentation as well as a detailed and descriptive readme.md and requirements.txt files as well as any needed build and deploy scripts to get this project up and running all code should be of the highest quality and follow all best practices
Trigger the agent again by adding instructions in a new PR comment or by editing existing instructions.
CogniGitAI is an AI-powered software development assistant that helps developers code faster and smarter through natural language conversations. It will be built as a Ruby on Rails web application with React front-end.
Features
Architecture
include comprehensive and exhaustive documentation as well as a detailed and descriptive readme.md and requirements.txt files as well as any needed build and deploy scripts to get this project up and running all code should be of the highest quality and follow all best practices
Trigger the agent again by adding instructions in a new PR comment or by editing existing instructions.
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