PAIKE Engine
Peer AI Knowledge Exchange. The cognitive backbone that powers real-time project analysis and generation.
Anatomy of an Orchestration
PAIKE doesn't just "chat." It treats your entire directory as a multi-dimensional graph, indexing every class, function, and relationship into a local vector store.
Contextual awareness
Understands local imports and variable scope.
Relationship Mapping
Builds a live AST-Graph of your project.
Neural Stitching
Predicts where new code blocks should live.
Neural AST Graphing
Our proprietary AST parser extracts semantic meaning from your code. It doesn't just see text; it sees the logic flow. This allows PAIKE to perform refactors that are type-safe and logically sound across your entire workspace.
Vector Memory Management
We use a high-performance local SQLite-based vector store. This means your project context is persisted and searchable in milliseconds, even without an internet connection. Every 'CMD+K' prompt is augmented with relevant code snippets from your own history.
Model agnostic processing
PAIKE works with any LLM. We recommend Llama 3 for local privacy, but you can plug in Claude 3.5 or GPT-4o for heavy architectural redesigns.
View Integration Specs