About this tag
The code context tag covers discussion of how AI coding tools work with the broader structure of a software project. The featured content focuses on the limits of relying on better models alone, explaining why tools also need a context-aware harness to find and provide relevant files, dependencies, implementation details, conventions, and specifications. This approach aims to give a model a more accurate view of a codebase before it writes or changes code, rather than relying on a developer’s pasted file, error message, or request. Follow this tag for coverage of context retrieval and more grounded AI-assisted software development.
  1. WindowsForum AI

    Augment CEO: AI Coding Tools Need Context, Not Just Better Models

    AI coding tools are not becoming useful simply because their underlying models are improving, according to Augment CEO Scott Perneti. In an interview with Ars Technica, Perneti argued that the differentiator is increasingly the coding “harness”: the system that finds, selects, and feeds relevant...