AuraCode launches AI agent that lets developers search and chat with messy codebases—turning hours of manual code review into minutes

AuraCode released an AI agent tool designed to visualize and understand large, disorganized codebases through natural conversation. Instead of developers manually reading thousands of lines of code to find bugs or understand how systems work, they can now ask questions in plain English and get answers about code structure, dependencies, and logic.

The tool works by mapping out how code is organized (functions, files, relationships between modules) and then letting you ask it questions like 'Where is the payment processing logic?' or 'Which services call this database?' rather than grepping through files blindly. This turns code archaeology—which typically takes hours—into a 10-minute chat.

For software engineers and development teams, this cuts onboarding time for new developers, speeds up bug fixes in unfamiliar code, and reduces the need to hunt down senior engineers for 'where does this thing live?' questions. Teams inheriting legacy systems or working across large monolithic apps see the biggest immediate benefit.

The tool is available at auracode.space. No pricing or access restrictions were announced; the Hacker News post received minimal engagement (1 point, 0 comments), suggesting it's either brand-new or still in early stages.