Don’t Miss Out on Vibe Coding In 2026

Work Smarter Not Harder
Stay up to date with the latest AI tools with Smartoolbox.com


Stay up to date with the latest AI tools with Smartoolbox.com

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Coding Agent Skill Library is an open-source collection of 100+ reusable skills for AI coding agents, plus an optional local Neo4j GraphRAG service with MCP, API and UI components. It helps teams stop copying scattered prompts between repositories by packaging operating procedures, safety instructions, domain skills, routing docs and validation workflows into a portable library. Developers can use the skills directly in Claude Code, Cursor-style workflows and other coding agents, or run the knowledge-graph layer for discovery and operational support. The recent Show HN result framed it as skills-as-a-service through MCP, and the official repository verifies Apache-2.0 licensing, Docker Compose, docs, tests, UI, security files and release history. It is a practical developer-productivity tool for teams standardizing agent behavior.
Local Coding Agent is an open-source MCP coding workspace that lets an AI agent work directly with a trusted local machine. It can read and edit files, run commands, inspect Git state, execute checks, and expose a live health and metrics dashboard through a local runtime. The project supports ChatGPT Web through the OpenAI Secure Tunnel while remaining compatible with any MCP client, and its packaged tray releases target Windows and macOS. It is designed for developers who want agent-assisted work on their own hardware instead of uploading a repository to a hosted coding environment. The repository documents security boundaries, setup and diagnostic prompts, permissions, recovery behavior, and a stable v5.0.1 release. Because it explicitly warns that it is not an OS sandbox, it is best suited to technically capable users who can choose workspaces they trust.
ponytail, a lightweight open-source tool that layers a 'chill senior dev' persona onto AI coding agents (like Claude). It makes the model pause, think like an experienced engineer, and aggressively cut unnecessary code before generating anything.
Try it out
A community prompt by @ameya-2003 from the public awesome-chatgpt-prompts corpus for using an AI assistant as an Ethereum Developer.
Code & developmentA community prompt by @f from the public awesome-chatgpt-prompts corpus for using an AI assistant as a Linux Terminal.
Code & developmentA community prompt by @f,iltekin from the public awesome-chatgpt-prompts corpus for using an AI assistant as a Job Interviewer.
Keep reading

AI agents are getting more capable, but the real product test is whether humans can inspect, approve, and undo their work safely…

Claude Code shows why AI coding is becoming a management problem: agents need context, tests, reviews, permissions, and team routines…

Debian’s new AI policy shows where serious software projects are heading: responsibility, review, privacy rules, and human ownership…