Decypher
A deterministic code graph for AI agents
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About Decypher
Decypher provides a deterministic code graph designed for AI agents. Developed by Neuvem, this tool serves as an execution intelligence layer specifically built for AI-native software engineering. It helps you enhance the way AI agents understand and interact with codebase structures during the development process. Decypher helps with: - Providing a realtime updated graph of the entire codebase across the dependency boundaries, which allows AI agents to navigate the codebase with confidence - Allows checkpointing and reverts for edits being done throughout a coding session - Enables complex use cases like library migrations, deep refactors - The runtime execution graph of Decypher blends in runtime data of a program into the static analysis to power performance aware use cases in Agentic Coding
Product Insights
Decypher functions as a subscription-based API providing a deterministic code graph for AI-native software engineering. It integrates runtime data with static analysis to enable AI agents to perform complex codebase navigations and refactorings across dependency boundaries.
- Supports real-time codebase graph updates across dependency boundaries for precise navigation.
- Integrated execution graph blends runtime data with static analysis for performance-aware coding.
- Native support for session-based checkpointing and reverts during automated code edits.
- API-based delivery allows for seamless integration into custom AI agent workflows.
Ideal for: AI Engineers and Software Developers can utilize Decypher to facilitate complex library migrations and deep refactoring sessions via an execution intelligence layer.
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