Beyond grep: The case for a context-rich AI coding harness
Summary
The article surveys how AI coding harnesses are evolving beyond grep-based methods, highlighting context-rich retrieval and embeddings as central to agentic workflows. It contrasts lean harness approaches with pre-indexed context engines, drawing on interviews with Claude Code and Augment Code to discuss trade-offs, token efficiency, and private codebases.