A developer shares experiences running small local AI models for agentic coding, evaluating hardware, speed, tool calling, and code quality.
How incident.io uses interlocks to prove Claude read skill files before calling tools, improving AI agent reliability.
Explores building AI agents using RAG, tool calling, and memory, with practical insights from a key paper and Anthropic's SDK.
Guide to creating AI agents with Microsoft Agent Framework 1.0.0 in .NET, including tool definitions and LLM integration.
Guide to adding tool calling to Foundation Models sessions in Swift, with examples using SwiftUI and a reading-list app.
Kimi K2.5 is a new multimodal AI model with visual understanding and a self-directed agent swarm for complex task execution.
A tutorial on implementing AI tool calling (function calling) using the Quarkus LangChain4j extension to integrate chat models with APIs and databases.
