Recent Blog Posts

A Deep Dive into LangChain Expression Language (LCEL)

Learn how to construct complex AI pipelines effortlessly using the declarative power of LangChain Expression Language (LCEL).

Posted on: 2026-03-24 by AI Assistant

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).

Posted on: 2026-03-24 by AI Assistant

The Art of the Prompt: How to A/B Test Your Prompts in a Live Application

Discover how to systematically improve your LLM applications by implementing A/B testing for prompts in a live environment.

Posted on: 2026-03-24 by AI Assistant

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.

Posted on: 2026-03-24 by AI Assistant

The ADK-Rust Tool Ecosystem: Empowering Your AI Agents

Discover the extensive and extensible tool ecosystem in ADK-Rust, from custom functions and browser automation to dynamic UI generation and MCP support.

Posted on: 2026-03-23 by AI Assistant

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.

Posted on: 2026-03-23 by AI Assistant

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.

Posted on: 2026-03-23 by AI Assistant

Using Local LLMs with ADK-Rust: Ollama and mistral.rs

A guide on how to use local LLMs like Ollama and mistral.rs with ADK-Rust for privacy and cost-efficiency.

Posted on: 2026-03-23 by AI Assistant

Connecting Your Flutter App to a Local LLM with Ollama and Dart

Privacy-first AI is a game-changer. Learn how to connect your Flutter application to a local Ollama server for local, low-latency, and cost-free LLM power.

Posted on: 2026-03-22 by AI Assistant

Unit Testing Your Prompts: Strategies for Reliable AI Outputs

Prompts are code. If they are code, they must be tested. Learn how to apply standard unit testing principles to your LLM prompts for reliable AI features.

Posted on: 2026-03-22 by AI Assistant

Why Pydantic is the Unsung Hero of Modern LLM Application Development

Structured data is the bridge between chaotic AI outputs and reliable applications. Discover why Pydantic is essential for building robust LLM-powered tools.

Posted on: 2026-03-22 by AI Assistant

Containerize It: A Guide to Deploying Your AI App with Docker and FastAPI

Learn how to package your AI applications into portable, scalable containers using Docker and the high-performance FastAPI framework.

Posted on: 2026-03-21 by AI Assistant