“llm”
GenUI Custom Agent Adapters: Connect Flutter to Any LLM
The GenUI SDK ships adapters for Firebase AI Logic and A2UI servers, but its real power is that it is backend-agnostic. Learn how to write a custom agent adapter that plugs any LLM into Flutter's generative UI pipeline.
The Best AI Proxy & AI Gateway in 2026: A Practical Comparison
A practical, vendor-neutral comparison of the best AI proxies and AI gateways in 2026 — OpenRouter, LiteLLM, Portkey, Cloudflare, Kong, Helicone, Bifrost and more — with a decision matrix to help you pick the right one.
Gemini 4 Argon: What It Is and What You Can Build With It
Gemini 4 Argon is Google's new frontier model. Learn what it is, why it matters, its benchmarks, pricing, and exactly what you can build with it as a developer — with code to get started.
Recruiting Agents: Resume Parsing, Screening, and Bias Guards
A resume-screening agent is a regulated decision system with an LLM in the middle. How to structure parsing and scoring — and the guardrails that keep an agent out of the headlines.
GenUI TransportAdapter: Wiring a Flutter GenUI App to Any LLM Agent
The A2uiTransportAdapter replaced ContentGenerator in Flutter's genui package after the A2UI v0.9 rewrite. Learn how the Engine/Transport/Facade split works, how onSend and addChunk stream tokens, and how to build your own transport for any LLM provider, WebSocket agent, or mock backend.
Financial Advisory Agents: Data, Disclaimers, and Regulated Outputs
Building AI agents that touch investment topics without hallucinating numbers or crossing regulatory lines — grounding, structured outputs, safety settings, and human review with the Gemini API.
GenUI Prompt First: How Flutter's GenUI Now Builds UI From System Prompts
Flutter's GenUI package moved from Structured Output First to Prompt First with A2UI v0.9. Here is what changed, why it matters, and how to wire PromptBuilder, TransportAdapter, and SurfaceController.
Caching for Agentic RAG: Index Refresh and Query Caching
Agentic RAG loops re-retrieve constantly. Layer query caching, response caching, and index refresh policies to cut latency and LLM bills without serving stale answers.
Multi-Hop Retrieval: Answering Questions That Span Multiple Sources
How multi-hop retrieval extends RAG with an iterative retrieve, reason, and re-query loop, and how to implement it as a bounded LangGraph workflow.
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.
GenUI Architecture Decoupling: What Changed in Flutter's GenUI Package
The latest genui release removes ContentGenerator and splits the framework into Engine, Transport, and Facade layers. Learn how the architecture decoupling and Prompt First approach change how Flutter apps talk to LLMs.
Jev and System One Models: AI That Decides Without Talking — And How Open Source Replicated It in 4 Days
A deep dive into TypeSafe AI's Jev, a System One model that makes decisions without generating text, and the 3 open-source approaches that replicated it in 4 days.
Genkit Dart Model-Agnostic API: Switch Between Google, Anthropic, and OpenAI
How Genkit Dart's model-agnostic API lets you integrate and switch between Google Gemini, Anthropic Claude, OpenAI GPT, and compatible providers with minimal code changes.
Building a Flue Agent: A Step-by-Step Tutorial
Learn how to build a conversational AI agent using Flue, a framework for creating durable, tool-using agents with weather and IT policy capabilities.
Flue: The Open Agent Framework for Building Durable AI Agents
Explore Flue 2.0, the open TypeScript agent framework from the creators of Astro. Learn how Agent Hooks, durability, and a React-like API make building autonomous AI agents intuitive and powerful.
Conversation Summaries as Memory: Compressing Sessions for Context
Learn how to compress long conversations into concise summaries that preserve key information, reducing token usage while maintaining agent context.
LLM-as-a-Judge for Agent Outputs: Strengths and Pitfalls
How to use LLMs as evaluators for agent outputs — the strengths, systematic biases, and practical debiasing strategies for production evaluation.
MCP Concepts Explained: Tools, Resources, and Prompts
A developer-friendly explainer of the Model Context Protocol — tools, resources, prompts, and how MCP connects AI applications to external systems.
Toxicity and Safety Filters for LLM Outputs: A Hands-On Guide
A practical guide to implementing toxicity detection and safety filters for LLM outputs, covering guard models, content APIs, and production architectures.
Transforming a Reactive LLM Chatbot into an Agentic System
An architectural roadmap for moving from a single-turn, reactive LLM chatbot to a smart autonomous agent: planning loops, multi-tiered memory, multi-agent delegation, dynamic tool retrieval, and self-healing.
Blazing Fast On-Device GenAI with LiteRT-LM
A deep dive into the LiteRT-LM runtime powering on-device GenAI. Learn how multi-token prediction, memory-mapped embeddings, session management, and constrained decoding deliver blazing-fast Gemma 4 inference on mobile.
Building an AI Chatbot UI with Streaming Responses
Why streaming beats spinners in AI chat UIs, how Server-Sent Events work, and how to build a React chat interface that renders tokens as they arrive without layout thrash.
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.
10 Open WebUI Alternatives for 2026
A deep dive into the top 10 open-source alternatives to Open WebUI for creating custom conversational AI solutions in 2026.
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.
Defensive AI Programming: Building Robust and Error-Resilient LLM Applications
Learn how to build production-ready LLM applications with defensive programming patterns, validation, and graceful degradation.
Performance Tuning Your AI Apps: Optimizing Latency and Throughput
Learn how to slash latency and boost throughput in your AI-powered applications with practical optimization techniques.
The Clean Code Handbook for AI Developers: Writing Maintainable LLM Apps
Learn how to apply the principles of clean code to your AI and large language model (LLM) applications. Write code that is not only functional but also readable, maintainable, and scalable.
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.
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.
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.
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.
Fine-Tuning 101: How to Teach a Small LLM New Tricks with Your Own Data
A beginner-friendly guide to fine-tuning smaller Large Language Models on custom datasets for domain-specific tasks.
AI APIs vs. Local Models: A Developer's Guide to Choosing the Right Tool
Should you use an API like Gemini or run a local model with Ollama? We compare the pros and cons of each approach for developers.
AI Security for Devs: How to Prevent Prompt Injection in Your Applications
Learn what prompt injection is, why it's a critical security vulnerability for LLM applications, and practical techniques developers can use to defend against it.
Your First Local LLM: A Developers Guide to Ollama and Docker
Learn how to run powerful, open-source large language models on your own machine for free, private, and offline AI development.
Add LLMs.TXT to Astro Blog
Learn how to create an llm.txt endpoint in your Astro blog to improve discoverability for AI agents and LLMs.
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.
Generate MCP Servers from any OpenAPI Specification
Learn how to automatically convert your existing REST APIs into Model Context Protocol (MCP) servers using Go FastMCP and OpenAPI specifications.
Integrate FastMCP with FastAPI Applications
Discover how to effortlessly generate Model Context Protocol (MCP) servers from existing FastAPI applications or mount MCP endpoints within them using FastMCP.