Paren AI Threads

Paren AI Threads brings custom AI Agents built in Bedrock and EC2 to help your business run better. We work with you to understand your internal workflows, processes and goals, and then build custom AI Agents on top of our Paren Agent Framework to speed up your business.

By leveraging advanced generative AI technology through AWS Bedrock, Paren can create a unified knowledge graph from your code, documentation, roadmap, and team communications, breaking down traditional information silos and accelerating development workflows. This intelligent system learns and adapts to your team's specific patterns and conventions, making it an invaluable partner in your development process.

At its core, Paren excels at uncovering hidden relationships within your development ecosystem. Through sophisticated analysis of interconnected data sources - including GitHub repositories, Confluence pages, JIRA tickets, Slack conversations, Zendesk support tickets, and anywhere else you store data - Paren can reveal crucial patterns and connections that might otherwise go unnoticed. Whether you're tracking down the root cause of a bug, understanding the impact of recent code changes, or exploring how different components interact, Paren provides clear, actionable insights through detailed explanations and visual representations. This comprehensive view helps teams quickly understand complex systems and make informed decisions.

The platform's primary mission is to save development teams valuable time - targeting approximately three hours per week per team member - by streamlining access to information and enforcing consistency in development practices.

Paren serves as an always-available expert that can help with various tasks: from locating specific tickets and explaining code architecture to assisting with test writing that follows team conventions. By making information more accessible and helping maintain consistent development practices, Paren not only improves individual productivity but also enhances overall product quality by ensuring best practices are followed and institutional knowledge is preserved and easily shared.