Daily AI Tooling Roundup – March 23, 2026
Stay updated with the latest in AI tooling. Here are the top picks for today, curated and summarized by HappyMonkey AI.
Advancing independent research on AI alignment
OpenAI invests $7.5M in The Alignment Project for AI alignment research to enhance global AGI safety.
Why it matters: To ensure the development of safe and secure AI systems.
Multi-CLI MCP (Gemini/Codex/Claude CLI as tools) – Reddit
Claude, Codex, and Gemini collaborated to develop a multi-agent MCP CLI tool, which has been in internal use for a week.
Why it matters: To enhance team collaboration and efficiency through advanced AI tools.
Train AI models with Unsloth and Hugging Face Jobs for FREE
This article explains how to use Unsloth with Hugging Face Jobs for fast fine-tuning of AI models like LiquidAI/LFM2. 2B-Instruct using coding agents, offering free credits and a one-month Pro subscription.
Why it matters: To optimize training processes and reduce costs.
SpillwaveSolutions/mastering-gemini-cli-agentic-skill – GitHub
The article describes various GitHub features and solutions for software development, including AI tools, security measures, and developer workflows.
Why it matters: To leverage advanced AI tools like GitHub Copilot for improved code creation and automation.
Differential Transformer V2
Differential Transformer V2 (DIFF V2) improves inference efficiency and training stability for large language models by eliminating the need for custom attention kernels and simplifying parameterization.
Why it matters: To enhance the speed and stability of AI model inference and training.
MCP servers – OpenCode
MCP servers in OpenCode allow adding external tools using the Model Context Protocol, enabling both local and remote access, but can increase context size which may be limited.
Why it matters: To avoid exceeding context limits that could reduce tool availability or performance.
Setup OpenCode AI Coding Agent [Complete Guide] – ComputingForGeeks
OpenCode is an open-source AI coding agent that integrates with various AI providers for code generation, file editing, and more through a single terminal binary.
Why it matters: To leverage multiple AI providers and enhance coding efficiency through a unified interface.