NEW RESEARCH REPORT: Overcoming the limitations of coding agents in complex software systems
Automate root cause analysis with AI – and trust the results
Undo provides the runtime context AI needs to understand complex software behavior, investigate failures autonomously, and verify its findings.
Fix customer issues in hours and avoid escalations.
100x faster root cause analysis on mission-critical code.
AI verifies its findings against recorded program execution.
Trusted by industry leaders
AI = Model + Context
The bottleneck isn’t the model. It’s the context.
The hardest problems in million-line codebases live in runtime state:
Execution paths
Non-deterministic inputs
Values flowing across module boundaries
Effects far from their cause
Source code can’t show this. Logs don’t capture causality.
So agents fill the gap with plausible guesses, and engineers can’t tell the good answers from the hallucinations.
The antidote to hallucination
Your agent autonomously records the program execution it needs to investigate a failure or unexpected behavior.
The Undo recording captures the complete program execution: every instruction, every variable, every thread event, every system call.
Unlike logs, recordings capture causality. Unlike traces, they’re complete. And unlike a live debug session, they’re deterministic. The agent can replay the execution exactly as it happened, every time.
From there, the agent queries the recording just as it reasons about static code. But now it can answer the questions source code alone never could:
Why did this variable change here?
What caused this null pointer dereference?
What was the thread state when the crash occurred?
No more guessing. Just the truth about what your program actually did.
Delivered via MCP
Any coding agent can query a recording for exactly the context it needs.
Recordings are self-contained and portable. Capture a problem in development, test, or production, and analyze it anywhere.
Solve problems that were previously out of reach
Use dramatically fewer tokens to reach the same answer
Run cheaper models for work that previously needed the most expensive ones
Why engineering leaders choose Undo
100x faster diagnosis of production problems
Complex root cause solved in hours, not weeks.
Accountability restored
Engineers can review, own and sign off agent output.
Stable, maintainable codebases
Outages and breaches prevented at the source.
AI spend under control
Runtime context lets cheaper models solve more problems using fewer tokens.
Undo AI makes your coding agent smarter, faster and cheaper
The gain comes from the runtime context your agent can read, not from the model it runs on.
See what others say
WILL UNDO WORK ON MY CODEBASE?
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Super-charge your AI model with the best guardrails you can provide it: runtime context
Ensure AI slop doesn’t impact code maintainability
Set up fully automated root cause analysis in your CI/CD workflow
Resolve production issues before they turn into escalations
