Automate finding the root cause of complex bugs with AI
Agentic Debugging for Large-Scale Codebases
Undo applies AI to solving one of the hardest, most time-consuming and costliest problems in software engineering: debugging complex software failures in production and development/test environments.
Debugging is your productivity killer
- Engineers spend 30–50% of their time debugging hard bugs (memory corruption, multithreading issues, flaky tests, or unexpected results), while only < 25% goes to writing code (where most coding agents today are focused).
- Critical bugs delay releases by weeks, sometimes months.
- Defects slipping into production leads to unwelcome escalations.
The LLM hallucination problem
AI agents cannot reliably debug complex codebases because they lack high-quality context and guardrails.
Undo gives AI coding assistants guardrails — so they stop guessing and start reasoning from real execution data. This solution is powered by our time travel debugging technology.
How it works:
- RECORD: Automatically capture program execution (every instruction, threads, variables, I/O).
- REPLAY: Step backward/forward to inspect code flow and see what actually happened — or let the AI drive the Undo debugger for you (autonomous debugging)
- RESOLVE: Give AI the runtime context it needs to accurately explain what the code did or when a variables last changed
The recording is the key. By feeding AI the recording of the program’s execution, it now has the high-quality context it needs to give you a reliable answer.
AI that speeds up engineering
Accelerate software delivery
Deliver robust releases
Keep costs under control
Ensure core engineer retention
Speed up onboarding
UNDO AI
AGENTIC DEBUGGING
Typing in the code is only a small part of a developer’s job. Understanding large codebases and debugging them takes up far more time.
That’s where Undo comes in. By giving AI code assistants full visibility into how software actually behaves at runtime, Undo enables them to understand complex systems and fix bugs more accurately and cost-effectively.
Undo makes AI better.
Undo helps you get way more productive. It enabled us to iterate more quickly and to deliver higher-quality in less time. We’re spending less time on debugging and troubleshooting and we can focus on creating new software and providing value to our customers.Watch success story video
Alexander Boehm
We used Undo to locate the root cause of the memory corruption and the logical errors. Without Undo, it would have taken significantly longer to get the right set of data to solve such issues, which typically could be upwards of a week.Read full case study
Ajit Kumar Rajah
When dealing with unfamiliar code, there is a huge productivity benefit in being able to go backwards and forwards over the same section of code until you fully understand what it does.Read full case study
Rob Thompson
Many real-world programs can be recorded running at better than half-speed. Others will be a bit worse – in general, expect 1.5x-5x slowdown per thread (YMMV).
Undo’s dynamic just-in-time instrumentation captures only the minimum data required to replay the process – 99% of the program state can be reconstructed on demand, only the non-deterministic inputs need be recorded.
Undo’s customers record applications:
- with dozens of active threads and 100’s of less active threads
- using custom memory allocators, custom thread libraries
- running on machines with 100’s of cores and terabytes of RAM
For example, the SAP HANA Cloud engineering team invests in the most advanced technologies to ensure stable releases. The team uses Undo’s time travel debugging (combined with thread fuzzing) to debug their highly-multithreaded application with around 5 million lines of productive C++ code. No known bug remains unresolved.
To record memory states, the Undo engine relies on the copy-on-write semantics provided by the operating system, so the memory footprint can be kept relatively low (typically 2x that of the process you are recording).
We can also tune Undo’s behavior adaptively to available RAM.
Undo comes as on-premise software, so your data lives with you.
A good proportion of our customers use Undo in production to resolve customer issues orders of magnitude faster than with decade-old debugging practices.
👉 Check out customer stories from Synopsys, Siemens EDA, Cadence or Altair
Undo has the technology to record almost any kind of interaction between the process being recorded and the kernel.
Some of Undo’s customers are networking companies, using very specialized hardware and kernels. Some kernel interactions involving custom devices require optimization by Undo to have good reliability and performance.
Yes – with Undo, you can record multiple, communicating processes running as part of a larger service and then debug them all from the comfort of your development machine.
No need to attach a debugger to multiple nodes of your cluster or to pause components whilst the system is in operation.
Watch this video for an example that traces a bug to the originating node – and to the bad source line – within a distributed C program.
No. No kernel changes or settings, no kernel modules. No special compilation steps either. It just works.
Yes, we just supply an MCP server that makes your AI coding assistant smarter.
It works with any coding assistant of choice (including Cursor and Windsurf).
Undo’s software is designed for Linux, running on x86, x86_64 and ARM64 devices.
We don’t support Risc-V, PPC or MIPS. We cannot record on Windows, MacOS, any of the BSDs or any other OS that is not Linux. On Linux we do support a huge variety of kernel versions and distros.
We cannot record code executed by GPUs, but we can record the CPU side of the interaction with a GPU and, sometimes, that’s all you need.
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- Deploy Undo AI to make demonstrable engineering productivity savings
- Boost AI adoption by solving a real technical problem engineers are faced with on a regular basis
- Get return on your AI investment
