Blog Archive
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).
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.
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.
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.
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.
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.
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.
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.
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.
Creating a Real-time Streaming Chat UI in Flutter for LLM Responses
Enhance your user experience by implementing real-time, streaming chat responses in your Flutter application using Streams and StreamBuilder.
More Than a Hub: A Developers Guide to the Hugging Face Ecosystem
A deep dive into why Hugging Face is the core of modern AI development, exploring the Hub, Transformers, and the broader ecosystem.