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[Release] anthropics/claude-code v2.1.228: v2.1.228
Claude Code v2.1.228 is a maintenance release fixing critical bugs in interactive sessions, Git integration on Windows, model switching, cross-session messaging, and self-hosted runners. Key improvements include hardened skill syncing from claude.ai, better Vertex AI credential handling, improved UI feedback during compaction, and updated file-writing permissions for newer models. The release addresses 17 distinct issues spanning session stability, remote control functionality, plugin caching, and settings management.
- Fixed interactive sessions freezing on rare layout errors while background processes continued running
- Resolved Git/Git Bash detection failures on Windows when Claude Code launched from parent folders
- Fixed `/tui` command reverting to earlier model after `/model` changes in same session
- +7 more key points...
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See all 5 →Neural Nook AI day 69
Day 69 of a 100-day AI development series focusing on Microsoft AutoGen, a framework for building conversational agent loops. AutoGen, pioneered by Microsoft Research, enables multi-agent systems where agents can communicate and collaborate to solve complex tasks. The session explores how to structure agent interactions, manage conversations, and implement autonomous workflows using AutoGen's core capabilities.
Neural Nook
Build Your Own AI Money Coach in Python (Streamlit + Google ADK) | Sharad Khare
This tutorial demonstrates building WealthForge AI, a multi-agent financial coaching application using Google ADK and Streamlit. The system features three specialized agents powered by Gemini that work collaboratively to provide personalized financial guidance. The project combines Python, Streamlit for the UI, and Google's Agent Development Kit to create an intelligent money coach that can analyze financial situations and offer tailored advice.
Sharad Khare
Multi-Agent AI Finance Assistant: Currency + News Agents with Google ADK, MCP & A2A
This project demonstrates a multi-agent AI finance assistant combining currency conversion and financial news capabilities using Google ADK, MCP (Model Context Protocol), and Agent-to-Agent (A2A) communication. The system orchestrates multiple specialized agents that work together to provide comprehensive financial information. The architecture showcases modern AI agent patterns for building scalable, modular financial applications.
Shreyas Prabhakar
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