
Cole Medin has launched Archon, the first open-source harness builder designed for AI coding. In a live stream, he demonstrated how to set up and run workflows using both the command line interface and web UI, as well as how to create custom YAML workflows. Archon includes advanced features such as loops, approval gates, and per-node model selection, allowing users to encode AI coding workflows in a repeatable and version-controlled manner. This tool represents a significant step in harness engineering, evolving beyond traditional prompt and context engineering.
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This release quietly introduces Code Mode, an opt-in feature where Claude writes JavaScript to call its own tools, marking a shift toward more autonomous agent-like behavior within the CLI. The update also hardens the plugin ecosystem by enforcing version ranges and adding strict TypeScript type checking for hooks, which should significantly reduce instability from third-party extensions. Beyond these features, the changelog is dominated by critical fixes for authentication drift in background sessions and memory leaks when handling large files, stabilizing the tool for heavy enterprise use.
This release quietly patches a critical memory overflow in the mtmd module that caused crashes when loading HunyuanVL models. The issue stemmed from F64 position embeddings overflowing an F32 buffer, a subtle bug that broke multimodal inference for users relying on this specific architecture. By enforcing strict F32 requirements, llama.cpp stabilizes support for Tencent's vision-language model without adding new features or changing the core API. It’s a necessary maintenance update that keeps local multimodal workflows from breaking unexpectedly.
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Live Demo of Multi-Agent Coding Workflows
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