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.

PUKU CLI reimagines the command line as more than just a tool—it becomes a collaborative agent. Designed to bring agentic workflows directly into the terminal, PUKU CLI empowers developers to interact with AI-native processes seamlessly. Instead of juggling scripts, configs, and external dashboards, you can orchestrate tasks, automate flows, and query intelligent agents right where you work. It’s a fusion of traditional CLI efficiency with modern AI-driven adaptability, making the terminal not just a place to execute commands, but a space to think, build, and iterate alongside an intelligent partner.

PUKU Editor is an AI-powered fork of VS Code that accelerates coding with intelligent predictions, semantic understanding, and context-aware suggestions, guiding Poridhi.io learners in vibe and platform engineering.

Cloud-native AI development platform (ai.poridhi.io) enabling developers to train, fine-tune, and deploy models with GPU-accelerated workspaces, integrated notebooks, and one-click model serving.

Lightweight microVM sandbox environments for AI agents. Provides isolated, secure execution environments with minimal overhead — enabling agents to run code, access filesystems, and interact with tools safely.

Open-source minimal inference serving engine. Strips complexity to expose core concepts of LLM serving — continuous batching, KV-cache management, and efficient GPU scheduling for educational and production use.

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.