Agent Ready Models
A clear, practical guide to picking and using agent ready models for tool calling, long tasks, and production agents.
OpenCrabs 0.2.2: Token Counting & Memory Enhancements
OpenCrabs 0.2.2 brings precise token counting and smarter memory management to AI agents. The update fixes inflated token totals, aligns billing with provider counts, and improves compaction and search.
OpenCrabs 0.2.2: Token Counting & Memory Improvements Explained
OpenCrabs 0.2.2 brings accurate token counting and a three‑tier memory system to help developers build smarter AI agents. This article explains the new features and how to use them.
OpenCrabs 0.2.2 Update: Token Counting & Memory Improvements
OpenCrabs 0.2.2 introduces precise token counting, earlier memory compaction, and a new config manager tool. These updates help developers keep AI agents within budget and context limits.
n8n Workflow Builder 2.9.0: Build Code‑Base Workflows Easily
The n8n 2.9.0 release introduces a Code‑Base Workflow Builder and Focused Nodes, making automation faster and cleaner. This guide explains how to use these features and why they matter.
Latest Open-Source Models
A practical, easy guide to the latest open-source models. Includes testing steps, cost tips, safety checks, and a simple multimodal prototype.
Claude Opus 4.6 Review: New Features for Agentic Coding and Adaptive Thinking
Claude Opus 4.6 brings a 1‑million‑token context window, Adaptive Thinking, Agent Teams, and Mid‑Turn Steering. This review covers its new features, compares it to GPT‑5.3 Codex, and shows how to use it in real projects.
Xcode 26.3 Adds Claude Agent & Codex Integration
Apple’s Xcode 26.3 release brings Anthropic’s Claude Agent and OpenAI’s Codex directly into the IDE, offering AI‑powered code completion, explanations, and generation for Swift and Objective‑C developers.
Mastering Parallel Agent Mode in Cursor 2.0
Parallel Agent Mode in Cursor 2.0 lets you run up to eight AI agents at once, each on its own branch. This speeds up feature delivery, reduces merge conflicts, and keeps your codebase clean.
GLM‑4.7: The Open‑Source Model That Sets New Benchmarks
GLM‑4.7 is the newest open‑source language model that scores 87.4 on the τ²‑Bench. It offers long‑running task support, stable tool calling, and a new architecture that keeps context intact. Learn how to use it for chatbots, data pipelines, and more.