Repository-grounded agentic coding involves Large Language Models (LLMs) acting as software agents that interact with existing code repositories and adhere to scaffold-specified, often heterogeneous, instructions and constraints. It aims to enable LLMs to perform complex coding tasks while maintaining compliance with project rules.
Repository-grounded agentic coding enables AI models to act as software developers, working within existing codebases and following specific project rules. It aims to create AI assistants that can not only write code but also understand and adhere to complex instructions and existing project structures.
Agentic coding, LLM coding agents, Scaffold-aware coding, AI software agents
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