ClackyAI

🚀 Just shipped: One-click Publish — go live instantly with a single click. See it in action ⬇️ 🎥 Also in this release (Sep 14, 2025): • Preview before deploy • AI Checkpoints • Batch Rollback of AI code changes

🚀 Just dropped: Flow Mode for ClackyAI Beta!! ⭐️ Smarter to-dos ⭐️ Built-in reflection ⭐️ Fewer interruptions ⭐️ Better success rate All signal, no noise. Just focus — and flow. 👉 Try it now：bit.ly/46KjzVX

🚀 ClackyAI beta is live! Your Agentic Coding Studio, Prototype, Refine, Collaborate — and Evolve： clacky.ai

The Clacky editor supports an Edit feature that can be activated using the “Command + K” shortcut (or “Ctrl + K” on Windows/Linux). Upon pressing “Command/Ctrl + K”, the “Prompt Bar” appears, serving as an AI chat input box.

Connecting via SSH While Clacky is a complete cloud development environment, it still supports your local development habits, letting you use SSH to connect your local IDE (e.g., VSCode or Cursor) to Clacky’s development container, modify, and sync code.

Dogfooding Building Clacky with Clacky—AI coding itself.

Collaborative Multi-Tasking Clacky empowers multi-threaded collaboration, allowing teams to simultaneously handle development tasks, initialize project environments, and create parallel work threads with high efficiency.

Task Time Machine Clacky enables complete visibility and control through innovative "Task Time Machine" and code snapshot technologies, allowing developers to track, audit, and fine-tune every AI modification in real-time.

From Issue To PR Clacky transforms software development through natural language interaction, autonomously navigating from requirements to implementation with superior efficiency and quality.

Clacky can proactively monitor projects, automatically detect and diagnose potential issues with precision, transforming from a passive code analyzer to an active, context-aware assistant.

Automatically detect error messages in the terminal and console, analyze them, and provide solutions, and proactively complete repairs.

Clacky AI deeply participates in software development, from requirements analysis to Pull Request submissions. With a full understanding of the codebase, it provides context-aware suggestions for more accurate implementations.