alex.dev@portfolio:~$ project-detail
High-performance context indexing and retrieval engine for large codebases. Implements efficient chunking strategies, semantic search, and intelligent context window management for AI-assisted development workflows.
Project Category
MLOps
Tech Stacks:
Efficient Indexing Engine is a high-performance context retrieval system designed for large-scale codebases. It enables AI-assisted development tools to efficiently index, search, and retrieve relevant code context.
Semantic code indexing with embedding-based search
Intelligent context window packing and management
Efficient chunking strategies for large repositories
Optimized for low-latency retrieval in development workflows
This project brings Site Reliability Engineering into a new era by combining agentic workflows with the power of eBPF. Instead of reactive firefighting, the system acts as an intelligent agent within infrastructure—observing, diagnosing, and remediating issues in real time.
Project Category
AI Engineering
Tech Stacks:
PyTorch
Kubernetes
FastAPI
TypeScript
