Blog
Technical deep-dives, benchmarks, and insights from building high-performance AI infrastructure.
Why We Chose Rust to Accelerate Python AI Infrastructure
Python's GIL and single-threaded ORMs create bottlenecks in production AI agents. Rust + PyO3 delivers 3x-700x faster drop-in replacements for LiteLLM, LangGraph, and CrewAI with zero code changes.
How to Make LangGraph Checkpointing 700x Faster with Rust
LangGraph checkpoint serialization is the #1 performance bottleneck in production agent deployments. fast-langgraph uses Rust to achieve 737x faster serialization, 151x faster deserialization, and 2.8x faster end-to-end execution.
How to Run Multiple AI Coding Agents in Parallel with brat
brat is an open-source multi-agent orchestration harness that coordinates Claude Code, Aider, Codex, and other AI coding tools on shared codebases with crash-safe state, merge queues, and a real-time dashboard.
Python Task Queue Without Redis: How FastWorker Replaces Celery + Redis
FastWorker is a brokerless Python task queue that eliminates Redis and RabbitMQ. It supports priority queues, auto-discovery, distributed workers, and a built-in monitoring dashboard — all without an external message broker.