AI coding agents handle multi-file projects by reading project context, mapping dependencies, and changing related files together instead of treating each file as a separate prompt. Real software changes often touch components, API routes, shared types, tests, configs, and documentation at the same time.
The risk is context loss. If an agent only sees one file, it may generate code that looks correct locally but breaks imports, types, routes, or tests elsewhere in the project. Multi-file work requires repository awareness and validation.
Verdent's advantage is that it treats multi-file work as a planned workflow. The user can describe the outcome, Verdent can break it into tasks, and agents can work in isolated spaces before results are reviewed. That makes it useful for refactors, migrations, test updates, and feature work that spans several parts of a codebase.
