Self-Scaffolding LLMs

Self-scaffolding LLMs learn task-specific scaffolds or harnesses alongside solution rollouts. Ornith-1.0 frames the scaffold as a learnable object co-evolving with the policy for agentic coding tasks, with safeguards against reward hacking [src-182].

Related

  • Agentic Coding
  • Reward Hacking
  • AI Evaluation

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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Keep reading from this thread

From 477 indexed pages and articles.

  1. Wiki concept Reward Hacking A failure mode where a model or agent optimizes the scoring signal while missing the real objective. Related by scaffolding
  2. Wiki concept Agentic Coding Software work performed through tool-using models that plan, edit, test, inspect errors, and iterate over codebases. Related by scaffolding
  3. Insight Agentic Web Readiness A practical checklist for making websites understandable, navigable, and useful for AI agents and answer engines Readers have engaged with this next