Running some tests on the Coder and its Three.js capabilities.
It's not too bad in my opinion, for minor iterating while debugging. Using Claude Code CLI here instead of the Deepseek API turned out to be a game changer. Claude Code built the vision harness it needed to iterate
DeepSeek Harness makes running a local AI agent far easier than it sounds.
You don’t need to build an entire developer stack first. Here’s the basic playbook: → Run it locally from one command. → Open the interface in your browser. → Choose the right run mode for the task.
Maritime Changelog #004: an integrations marketplace, a DeepSeek Harness template, an API for your agent's files, and self-serve webhooks
Deepseek V4 pro might be way better than its benchmarks suggest.
And the reason has almost nothing to do with changing the model itself. What JSpace actually changes: → DeepSeek V4 Pro stays on the same weights → JSpace wraps the model with an inference-time harness → It
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