Duckly — Talk and collaborate in real time with your team. Pair programming with IDE, terminal sharing, voice, video, and screen sharing. Free for small teams. - Source: dev.to / over 2 years ago

I'm sure the folks at Zed know what they're doing, but this is already possible in multiple editors / IDEs. I'm excited to see how Zed innovates in this space. Examples: - VSCode Live Share https://code.visualstudio.com/learn/collaboration/live-share - JetBrains IDEs Code With Me https://www.jetbrains.com/code-with-me - Standalone https://www.coscreen.co https://duckly.com. - Source: Hacker News / about 4 years ago

Unfortunately, as of 2022 there isn't a free tool as good as Live Share that can be outside of VS Code. Potential options are Duckly, Saros for Eclipse or IntelliJ, and tmux and ssh for vi or emacs. - Source: dev.to / over 4 years ago

There are plenty of tools that have started popping up to try and improve this situation since last year. CodeTogether, Duckly, Code With Me, and GitLive to name a few. Source: over 4 years ago

Duckly — Talk and collaborate in real-time with your team. Pair programming with any IDE, terminal sharing, voice, video and screen sharing. Free for small teams. - Source: dev.to / almost 5 years ago

Https://opencode.ai/ OpenCode was the first agent harness I used, and I have always like it. You can configure a wide variety of providers, but it's open source and has a number of core contributors. The other opinionated option is Pi (the Pi agent harness). This is a great lightweight option and also supports a number of providers. You can also use local model servers. - Source: Hacker News / 20 days ago

OpenCode with GLM 5.2 wrote custom Emacs Lisp to pinpoint within the file where the missing or extra bracket could be. It rewrote the custom code to check various parts of the file. Each of those is a tool use and many, many tokens burned. The next step is to turn those custom scripts written by the AI agent into a tool to speed up the process, or a skill that shows how to use other tools to speed up the process. - Source: dev.to / 22 days ago

I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0% — never edited a single file. - Source: dev.to / 23 days ago

Set up your stations. I work in two Ghostty terminals. The left side is for planning and viewing, the right for synchronous agents running through OpenCode. - Source: dev.to / about 1 month ago

If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / about 1 month ago