AI coding assistants can generate code at astonishing speed. But when that code breaks, they’re still just guessing.
By feeding AI the precise execution history of a program (high-quality context), Undo grounds AI’s answers in reality.
Find out more: hubs.ly/Q03Lj6Lv0
Providing runtime context for AI agents. Fully automated root-cause analysis on the world’s most complex codebases.
- New engineers don’t struggle because they’re slow. They struggle because the codebase is complex, undocumented, and written by people who’ve long since left. Undo changes that. Let new hires see how the code runs. Step by step. Forward and backward. hubs.ly/Q03SDBcm0
- Imagine if new engineers could debug and understand code they’ve never seen before… …without asking for help …without guessing at control flow …without spending hours trawling through files Undo makes that possible. Get your team productive faster: hubs.ly/Q03HKpBz0
- How does Chocolate Doom work under the hood? We asked an AI coding agent, backed by Undo AI’s time travel debugger. The result: clear, step-by-step reasoning through the codebase. youtube.com/watch?v=dmH7ow… #Cpp #Debugging #Programming
- Race conditions. Uninitialized memory. Timing-related concurrency bugs. They’re hard to catch, and they make tests flaky. Undo captures an exact recording of execution so even failures that appear “once in a blue moon” become 100% reproducible. See how: hubs.ly/Q03LT8cm0

