Stirling: Run Llama, DeepSeek & Qwen Locally – The Dev’s Dream Editor

#AI #EarnCrypto #stirling

Stirling (featured on Quasa.io/projects/stirling) is a powerful, open-source AI code editor that's quickly becoming a favorite alternative to Cursor, Windsurf, or VS Code + Copilot in 2026. 

Built on top of Ollama/local LLMs (or cloud models), it offers lightning-fast autocomplete, full-file editing, chat sidebar, inline code explanations, refactoring suggestions, and even autonomous agent-like behavior for complex tasks—all while keeping your code private and running locally if desired.

Key strengths: extremely low latency (feels instant even on mid-range hardware), beautiful dark/light themes, excellent multi-file awareness, support for huge context windows (up to 128k+ tokens on good models), built-in terminal integration, Git support, and a clean, distraction-free UI. 

You can switch between models (Llama 3.1, DeepSeek-Coder-V2, Qwen 2.5-Coder, etc.) with one click, and the community is actively adding extensions/plugins.

It's completely free (no subscription trap), actively developed, and already outpacing many paid tools in speed and privacy for solo devs, indie hackers, and anyone tired of cloud-dependent IDEs. Minor cons: still maturing ecosystem compared to VS Code, occasional model-specific quirks, and setup takes ~5 minutes the first time.

A must-try for developers who want fast, private, powerful AI coding assistance without paying monthly fees — earn 1 QUA reward via Quasa too! 

4.8/5 stars (outstanding speed, privacy, and value; slight dock for smaller extension marketplace and occasional UI polish needed).

Get started: https://quasa.io/projects/stirling