NEW RESEARCH REPORT: Overcoming the limitations of coding agents in complex software systems
Networking
Resolve customer escalation faster
Customer escalations are inevitable. Weeks-long investigations aren’t.
Undo records the exact execution behind a failure — so AI agents and engineers can investigate what actually happened, find the root cause in minutes, and resolve escalations 100x faster.
Scale AI, not technical debt. Close escalations faster.
Escalations that stall the roadmap
One escalation becomes a P1. The roadmap stops, and the team drops into firefighting mode and back-to-back escalation calls.
With UNDO
Resolve escalations in a single cycle. Automated RCA runs against the actual failing execution — no reproduction required.
AI speed without losing control
AI speeds up development — but raises real questions about code quality, maintainability, and whether AI output can be trusted.
With UNDO
Keep your codebase under control. Every AI conclusion is backed by evidence in the recording, so it’s verified, not trusted blindly. Maintainability stays intact.
Defects that drain engineering time
A handful of non-deterministic, hard-to-reproduce defects swallow a disproportionate share of your engineering time.
With UNDO
Boost engineering efficiency. Reduce time to resolve complex defects from weeks to hours – improving delivery predictability and keeping your roadmap on track.
How Undo helps networking vendors
The recording
Give AI the high-quality context it can’t get anywhere else: what actually happened at runtime
A replayable recording of the failure
Undo records the exact process execution that led to a failure, creating a complete, replayable record of the run.
Every plane, captured in one binary file
Control plane, data plane, management plane — any Linux C/C++ component of the networking stack — Undo captures the execution history in one binary file which now contains the bug and acts as ‘the reproducer’. Program behavior remains the same anytime, anywhere, for everyone.
Runtime context your AI agent can use
Now you can feed the recording to your AI agent and ask it to diagnose the root cause of the issue for you. The recording provides AI the runtime context it needs to perform accurate, automated root cause analysis.
Automation & verification
Automate root cause analysis
Ask in plain language
Engineers simply ask questions such as: ‘Why did this process crash?’ or ‘Where was the memory corrupted?’
What the AI agent does
Investigates the recording – following the control flow, inspecting memory, picking up on state changes and identifying where the failure originated.
Explain the root cause.
Backs its conclusion with evidence that engineers can verify.
Engineers stay in control
Every AI recommendation or prediction is grounded in the recorded execution, so engineers stay in control while AI performs the heavy lifting of complex root cause analysis.
Use cases
Production
Debugging customer issues
Before Undo — laborious and time-consuming
Receive a customer report.
Set up a lab environment to replicate the customer’s network.
Attempt to reproduce the problem (when lab access is finally available).
Add diagnostic logs and instrument functions, recompile, investigate — and repeat logging/instrumentation until you have enough clues.
With Undo — straightforward
Record the process with the issue in it.
Feed the Undo recording to your AI agent and ask it a question (e.g. ‘why did this process crash?’).
Let AI agent analyze the recording and get you a reliable answer based on the runtime context the AI now has access to.
Development and test
Debugging issues in development
Before Undo — unreproducible and stalled
The hardest defects consume weeks of engineering effort because they can’t be reproduced e.g. threading issues in packet handling code, or a memory corruption during system integration testing.
Because it’s impossible to recreate the failure, the investigation stalls. Releases get delayed, impacting on engineering efficiency – or worse, tickets remain unresolved.
With Undo — resolved in minutes, not weeks
Automated RCA is finally achievable. Integrate Undo into your CI / Automated Test system, so recordings can automatically be created when tests fail.
Let your AI agents use that ‘reproducer’ to autonomously investigate what happened during that failing run and diagnose the root cause of the issue within minutes.
Benefits
Resolve customer escalations fast
Resolve customer escalations before the next status call. Move from days of uncertainty to confirmed root cause within a single escalation cycle.
Scale autonomous software engineering without sacrificing quality
Every recommendation is grounded in a real recording and backed by verifiable evidence — so engineering teams adopt AI while preserving maintainability and engineering confidence.
Recover weeks of engineering time
Investigations that once took weeks now take hours, freeing your team to deliver the roadmap and keep releases on schedule, instead of hunting hard-to-reproduce issues.
What software engineers say
TRUSTED BY INDUSTRY LEADERS
See root cause in minutes, not weeks
Explore the solution in more detail and see how it helps uncover the exact execution behind complex networking defects.
