“rust”
Tokenizers in Rust: The Quiet Default of Transformer Pipelines
Hugging Face's tokenizers crate is the unseen engine under most transformer pipelines — why tokenization is model identity, how the Rust core plus bindings is architected, and where its performance actually comes from.
Nami Mini: A Single-Binary AI Agent Framework Built in Rust
A deep dive into nami-core-mini — an advanced AI assistant and autonomous agent framework written in Rust, powered by adk-rust and Google Gemini, with hierarchical multi-agent delegation, MCP, SQLite memory, and a multimodal media pipeline.
High-Performance Native Interop: Modern Dart FFI Improvements in 2026
Explore recent Dart FFI enhancements including structs, direct memory management, struct passing, and seamless C/C++/Rust integration.
Embedding Wasmtime: Driving WebAssembly from Rust
A practical tour of the Wasmtime embedding API from Rust: Engine, Store, Linker and Module, host functions, WASI preview 2 components, and fuel and epoch limits for sandboxed plugins.
Backpressure in AI Pipelines: Bounded Channels and Flow Control in Tokio
Why unbounded queues quietly kill inference pipelines, and how to size bounded Tokio mpsc channels and semaphores, then propagate pressure to ingress to queue, reject or shed load on purpose.
WASI Preview 2: Running WebAssembly Outside the Browser
How WASI 0.2 rebuilt WebAssembly on the Component Model, what Preview 3 adds with native async, and how to build and run a component today with Rust and Wasmtime.
Burn: A Rust-Native Deep Learning Framework Comes of Age
Burn 0.22 drops backend type parameters for runtime Device selection, unifies CUDA, ROCm, Metal, Vulkan and WebGPU behind CubeCL, and ships a batteries-included training story.
Candle: Pure-Rust LLM Inference in Production
A tour of Hugging Face's Candle — a minimalist Rust ML framework for serverless and GIL-free inference: crates, backends, supported formats and models, and how it compares to tch-rs and Burn.
Flutter + Rust with flutter_rust_bridge
flutter_rust_bridge is a Flutter Favorite that connects Dart and Rust seamlessly. Learn when reaching for Rust inside a Flutter app makes sense and how the bridge fits the package ecosystem.
The Complete Guide to ADK-Rust v2: High-Performance Enterprise AI Agents in Rust
A comprehensive deep-dive into ADK-Rust v2, covering core runtime concepts, workflow agent patterns, tools & protocols (MCP/ACP), realtime multimodal audio, and production deployment case studies.
AI-Driven Full-Stack Architecture: Token Economics of Building with Rust and Next.js
Explore the token economics of building full-stack apps with Rust and Next.js under AI-assisted workflows. Learn codebase tokenization patterns, agent loop costs, and optimization techniques.
anydoc: Turn Any Office Document into LLM-Ready Markdown in Milliseconds
Meet anydoc, Firecrawl's fast Rust library that converts Word, PowerPoint, Excel, PDF, EPUB, and more into clean GitHub-Flavored Markdown with one consistent output.
Telegram AI Bot: Building Modular Agents with ADK-Rust and Teloxide
Discover how to build a modular, extensible AI-powered Telegram bot using the ADK-Rust framework and Teloxide, featuring persistent sessions, tool modularity, and a modern TUI.
Building a ThaiLLM Agent in Rust: A Step-by-Step Guide
Learn how to create a simple, high-performance AI agent using the ThaiLLM model with Rust, Tokio, and Reqwest for optimized Thai language processing.
Mastering the adk-cli: A Powerful Launcher for Your Rust AI Agents
Explore the features and capabilities of adk-cli, the essential command-line launcher for building, serving, and deploying Rust-based AI agents with ease.
The Agentic Local Stack: Mastering Ollama with the ADK-Rust Model
Build private, high-performance AI agents using the adk-model crate. Learn how to orchestrate local LLMs like Llama 3.3 and DeepSeek-R1 via Ollama and the ADK-Rust ecosystem.
Protocol-Neutral Agentic Commerce and Payment Orchestration for ADK-Rust
Introducing adk-payments, a protocol-neutral agentic commerce and payment orchestration for ADK-Rust.
Building the Agentic Mesh: Mastering A2A Communication with adk-rust
Learn how to build a multi-agent system where specialized AI agents collaborate through the Agent-to-Agent (A2A) protocol using adk-rust.
Building a Weather AI Agent with ADK-Rust: A Step-by-Step Tutorial
Learn how to create a simple yet powerful AI Agent in Rust using the ADK-Rust framework and wttr.in to fetch real-time weather reports.
RustFS MCP Server: High-Performance S3 Storage for AI Agents
Discover RustFS MCP Server, a high-performance tool providing AI/LLM assistants with standardized, secure access to S3-compatible object storage operations.
Mastering Agent Skills with adk-skill in Rust
Learn how to parse, index, match, and inject AgentSkills dynamically into your ADK-Rust applications using the adk-skill crate.
Exploring adk-server: HTTP Infrastructure for Rust AI Agents
A deep dive into adk-server, the HTTP infrastructure and A2A protocol component for the Rust Agent Development Kit (ADK-Rust).
FunctionTools vs. McpTools in ADK-Rust: Which Should You Use?
Understand the differences between custom Rust FunctionTools and standardized MCP tools for extending your AI agents.
Multi-Agent Systems with ADK-Rust: Orchestration and Delegation
Explore how to build complex multi-agent systems in Rust using ADK, from simple delegation to sophisticated graph-based orchestration.
Why Rust is the Foundation of High-Performance AI Infrastructure
Explore why Rust has become the go-to language for building fast, memory-safe backend AI systems in 2026.
Introduction to AgentGateway: The Open-Source LLM and Agent Workload Gateway
Learn about AgentGateway, a high-performance Rust-based gateway for managing LLM, MCP, and Agent-to-Agent workloads with enterprise-grade security.