<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Coding-Agents on Noureddine RAMDI</title><link>https://ramdi.fr/tags/ai-coding-agents/</link><description>Recent content in Ai-Coding-Agents on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/ai-coding-agents/index.xml" rel="self" type="application/rss+xml"/><item><title>Mapping the landscape of terminal-native AI coding agents: a curated directory analysis</title><link>https://ramdi.fr/github-stars/mapping-the-landscape-of-terminal-native-ai-coding-agents-a-curated-directory-analysis/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-landscape-of-terminal-native-ai-coding-agents-a-curated-directory-analysis/</guid><description>A curated directory catalogs over 80 terminal-native AI coding agents and harnesses, highlighting open-source projects, platform agents, and emerging architectural patterns in the CLI AI agent space.</description></item><item><title>Snip: a visual feedback layer for AI coding agents with local AI processing</title><link>https://ramdi.fr/github-stars/snip-a-visual-feedback-layer-for-ai-coding-agents-with-local-ai-processing/</link><pubDate>Tue, 05 May 2026 16:46:42 +0000</pubDate><guid>https://ramdi.fr/github-stars/snip-a-visual-feedback-layer-for-ai-coding-agents-with-local-ai-processing/</guid><description>Snip enhances AI coding agents by rendering visual outputs and enabling spatial annotations as structured feedback. It runs all AI locally, supporting multiple agents and offering a CLI and MCP server.</description></item><item><title>Ghist: repo-native task management for AI coding agents with conflict-free JSON storage</title><link>https://ramdi.fr/github-stars/ghist-repo-native-task-management-for-ai-coding-agents-with-conflict-free-json-storage/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/ghist-repo-native-task-management-for-ai-coding-agents-with-conflict-free-json-storage/</guid><description>Ghist replaces Jira and Linear with repo-native task tracking using JSON files to avoid Git conflicts, syncing seamlessly with AI coding agents like Claude.</description></item><item><title>tmux-agent-sidebar: unified AI agent monitoring in tmux with Rust</title><link>https://ramdi.fr/github-stars/tmux-agent-sidebar-unified-ai-agent-monitoring-in-tmux-with-rust/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/tmux-agent-sidebar-unified-ai-agent-monitoring-in-tmux-with-rust/</guid><description>tmux-agent-sidebar provides a Rust-based unified sidebar to monitor multiple AI coding agents across tmux sessions. It manages agent hooks, live metadata, and Git worktrees.</description></item><item><title>Open Vibe Island: a native macOS overlay for real-time AI coding agent monitoring</title><link>https://ramdi.fr/github-stars/open-vibe-island-a-native-macos-overlay-for-real-time-ai-coding-agent-monitoring/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/open-vibe-island-a-native-macos-overlay-for-real-time-ai-coding-agent-monitoring/</guid><description>Open Vibe Island is a macOS menubar overlay that monitors and controls AI coding agents in real-time using a hook-based architecture and Unix socket IPC. It supports multiple agents and IDEs with local-first design and zero telemetry.</description></item><item><title>TokenTracker: a local-first CLI for aggregating token usage across AI coding agents</title><link>https://ramdi.fr/github-stars/tokentracker-a-local-first-cli-for-aggregating-token-usage-across-ai-coding-agents/</link><pubDate>Mon, 04 May 2026 10:18:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tokentracker-a-local-first-cli-for-aggregating-token-usage-across-ai-coding-agents/</guid><description>TokenTracker is a local-first CLI tool that aggregates token usage and costs from 13 AI coding agents using a hook-based architecture and serves a local dashboard with detailed analytics.</description></item></channel></rss>