Agentic Coding

Agentic coding is software work performed through tool-using models that plan, edit, test, inspect errors, and iterate over codebases. Ornith-1.0 adds a self-scaffolding training signal to this area by learning the harness as well as the solution rollout [src-182].

Related

  • Self-Scaffolding LLMs
  • AI Evaluation
  • Reward Hacking

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 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 Related by scaffolding
  2. Wiki concept Reward Hacking A failure mode where a model or agent optimizes the scoring signal while missing the real objective. Related by scaffolding
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