Ornith 1.0 Introduces Self-Scaffolding Framework for Agentic AI Coding

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A project called Ornith 1.0 has been released, focusing on enabling large language models to scaffold themselves for agentic coding tasks. The tool was shared on Hacker News, where it garnered 40 points and sparked a small discussion with 6 comments. Agentic coding refers to AI systems that can autonomously plan and execute multi-step programming tasks. Ornith 1.0 appears aimed at reducing the need for externally designed scaffolding by allowing the LLM to generate its own task structure. Further technical details are available via the project's dedicated page at deep-reinforce.com.

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