Sold by: Wipro LimitedÂ
Agentic Document Generation enables intelligent documentation creation through context-aware extraction and natural language summarization. It offers semantic understanding of code structures along with advanced code search and analysis, including semantic code queries and contextual insights into functionality. The platform uses AI-powered code comprehension to generate detailed documentation in bulk, either from Git repositories or via manual source code uploads.
Overview
Agentic Document Generation, empowers developers to effortlessly generate detailed documentation and code by providing conversational prompts in natural language. These Agents revolutionizes the document generation process, making it faster, more intuitive, and highly adaptable to developer needs. By learning from the context provided, the platform refines its document process to ensure optimal results.
Key Features:
- Chat Bot and Code Search: Engage in conversational prompts to generate and refine documentation and code, and perform advanced code search and analysis.
- Easily upload documents, perform chunking for better management, and rephrase content for clarity and precision.
- Integrates with AWS OpenSearch for vector databases and Aurora Postgres for relational databases, ensuring efficient data handling and retrieval.
- Seamlessly connect to Git and Azure DevOps for streamlined workflows and synchronization.
- Automate synchronization from Git repositories to keep documentation and code up-to-date.
- Provides comprehensive business and technical summaries to enhance understanding and decision-making.
- Generate and download detailed markdown documents for easy sharing and collaboration.
- Supports: java,python,javascript,typescript,c,c++,c#,vb.net,go,sql, json
Highlights
- Intelligent Documentation Generation: Agentic Document Generation offers context-aware documentation extraction and natural language summarization, providing semantic understanding of code structures. The platform leverages AI-powered code comprehension to generate detailed documentation in bulk from Git repositories or through manual uploads of source codes. This includes semantic code querying and contextual functionality insights.
- Advanced Code Search and Analysis: The platform's advanced code search and analysis capabilities include semantic code querying and contextual functionality insights. This allows developers to gain a deeper understanding of code structures and functionalities, making it easier to generate accurate and comprehensive documentation.
- Revolutionizing the Development Process: By integrating these features, Agentic Document Generation transforms the development process, making it faster, more intuitive, and highly adaptable to developer needs. Developers can focus on creating robust and reliable applications with minimal effort, while the platform handles the complexities of documentation and code generation.
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