1 result
<div class="cat-intro"><p><strong>AI coding tools</strong> are model-powered assistants for software development — spanning inline autocomplete, in-editor chat, multi-file agentic refactoring, test generation, and autonomous pull-request authoring. They operate inside the IDE, the terminal, the CI pipeline, or as standalone repository-aware agents.</p><p>Buyers are individual developers and engineering teams. Model quality on your actual technology stack, code-privacy guarantees, and seat economics versus measurable productivity gain are the hardest calls — not headline benchmark scores on generic tasks.</p><p>Compare on real-repository suggestion quality, data-handling and training opt-out terms, agentic refactoring depth, IDE and toolchain integration coverage, and team governance controls once more than five engineers are on the licence.</p></div>