Undo Brings AI-Powered Bug Investigation to Automated Software Development

• By ADTMag.com Editors
• June 28, 2026

As AI coding assistants take on a larger role in software development, the ability to troubleshoot failures autonomously is becoming increasingly important. Undo is addressing that need with a new automated root cause analysis capability that enables AI coding agents to investigate software defects and pinpoint their origins without requiring developers to manually step through the debugging process. Undo AI plugs into any coding agent an engineering team already uses, including Claude Code, Codex, Cursor, and GitHub Copilot in Visual Studio Code.

Undo AI enables engineering teams to identify the root cause of long-standing production bugs, resolve failing tests quickly and automatically, track down the source of bad data flowing through systems, pinpoint the root cause of subtle issues, automate bug triage, and diagnose hard-to-reproduce issues such as intermittent failures, memory corruptions, or concurrency issues in highly complex environments.

The technology allows AI agents to examine program execution, trace bugs back to their source and generate detailed diagnostic information that developers can use to resolve issues more quickly. By extending its existing debugging platform with automated analysis, Undo aims to streamline AI-assisted development workflows and reduce the effort required to diagnose complex application failures, particularly in large and sophisticated codebases.

Undo said the capability builds on its debugging technology by allowing AI agents to analyze program execution and isolate the underlying causes of application failures. The approach is intended to support developers working on large codebases where identifying elusive defects can be time-consuming.