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Trag is an AI-driven code review tool aimed at helping engineering teams save time and enhance code quality. It enables users to establish custom rules using natural language, which allows Trag to automatically review pull requests, detect bugs, and propose corrections with AI-driven autofixes without directly altering the codebase. It supports multiple repositories and ensures adherence to best practices like memory management, DRY principles, and secure coding. Teams may choose to utilize Trag to optimize their review workflow, uphold coding standards, and decrease the time developers dedicate to reviewing code, allowing them to concentrate more on product development.

AgentRPC serves as a universal layer for Remote Procedure Calls (RPC), facilitating the connection of AI agents and workflows to functions deployed across different networks and environments. It integrates tools from various programming languages, offers automated service discovery and routing, and is compatible with numerous AI model SDKs. Developers and organizations creating AI agents or intricate distributed systems might leverage AgentRPC to enhance cross-network functionality, support language-independent development, manage long-duration functions, boost observability, and standardize tool definitions for AI models, ultimately simplifying the integration of AI agents with diverse function ecosystems.

Pico enables users to swiftly create basic, shareable web applications without needing to write any code. It offers access to a collection of 931 picos, which are ready-made code snippets for fast and easy app creation. Additionally, users can request the development of custom applications from the ground up.