NEW RESEARCH REPORT: Overcoming the limitations of coding agents in complex software systems

Resolve production issues in minutes

Critical production incidents are every engineering leader’s worst nightmare. A customer escalation pulls you and your team into daily status calls and firefighting, while the fix stays out of reach.

Undo gives your engineers and their AI agents the runtime context: the full history of what your program actually did as it ran. That’s what powers automated root-cause analysis. Get to a verified root cause fast, so issues get resolved before they escalate, and escalations get closed before the next status call.

The incidents that hurt most are the ones you can’t reproduce

Your products run on millions of lines of C, C++ or Java in complex, distributed production environments. When something breaks in production, the pressure is immediate. The path to a root cause rarely is.

Escalations turn innovation time into firefighting time

A single escalation can become a P1 incident. Engineers, and often engineering leaders, get pulled into daily calls with the customer. Sometimes, these calls occur several times a day. Roadmap work stalls while the team switches into reactive mode, and the escalation dominates everything until it’s resolved.

The hardest failures can’t be reproduced on demand

The most damaging production failures are often intermittent, environment-specific, or triggered only under real customer load. Customer-impacting issues that stay open for weeks or months: reopened repeatedly, passed from team to team, and closed as “cannot reproduce” without ever being resolved.

AI isn’t able to investigate what it can’t see

Coding agents are increasingly capable, but they face the same limitation as your engineers: without visibility into what the program actually did at runtime, they’re working from source code alone. So they guess, and confident guesses are exactly what you can’t afford in production.

Solution

Automated production root cause analysis, backed by evidence

Undo captures a deterministic recording of a production failure. This is the complete execution history, including control flow, data flow, and every state change. That recording becomes the runtime context your engineers and their AI agents need to understand exactly what happened.

Record and replay diagram: a client recording goes to an AI assistant that gives an R&D engineer root cause analysis

Capture the failure once

Deployed in production, Undo records the failing execution down to the instruction level. The entire sequence of events that led to the failure is captured in a single, self-contained recording. There’s no need to reproduce the issue again and again to chase each new theory.

Code editor beside an execution timeline panel listing function arguments and local variables, with a Record button
Code editor beside an execution timeline panel listing function arguments and local variables, with a Record button

Let AI agents investigate the recording

Your coding agent queries the recording through Undo’s MCP server, reasoning about the program’s dynamic behavior the way it already reasons about static code. It can trace causality across components, test hypotheses about the root cause, and pinpoint the source of the failure.

Two browser windows labeled Record, showing code, and Investigate, showing an AI chat, joined by a dashed line
Two browser windows labeled Record, showing code, and Investigate, showing an AI chat, joined by a dashed line

Trust every answer

Because the recording is a deterministic recording of what actually happened, every conclusion the agent reaches is backed by verifiable evidence. Engineers can check the reasoning against the real execution, so you get an answer you can act on, not a plausible-sounding guess. Engineers stay accountable for the final decision; the investigation is what gets dramatically faster.

Portable Undo recording from a customer production environment shared with a developer environment and an isolated data one
Portable Undo recording from a customer production environment shared with a developer environment and an isolated data one

Resolve once, deploy once

Recordings are portable and self-contained, so a production failure can be analyzed anywhere, away from the customer environment, on any machine. A single, confident fix can then be deployed just once, minimizing customer disruption.

AI coding agent chat tracing a reference count back to its root cause: input_queue object changed without locking
AI coding agent chat tracing a reference count back to its root cause: input_queue object changed without locking
Two browser windows labeled Record, showing code, and Investigate, showing an AI chat, joined by a dashed line
Portable Undo recording from a customer production environment shared with a developer environment and an isolated data one
AI coding agent chat tracing a reference count back to its root cause: input_queue object changed without locking
Code editor beside an execution timeline panel listing function arguments and local variables, with a Record button

Proven on real production failures

  • 3 weeks to 15 minutes

    3 weeks to 15 minutes

    A production bug that would traditionally have taken weeks to resolve was root-caused in minutes. Once they captured the failing run in a recording, an AI agent investigated it and pinpointed the exact root cause within 15 minutes. That’s a 100x faster time to resolution.

  • Higher customer satisfaction at scale

    Higher customer satisfaction at scale

  • Production crash to RCA in under a week

    Production crash to RCA in under a week

    A customer system crashed on Friday, with an Undo recording on the box. By Monday, the recording had reached the vendor’s support team, who used AI to analyze it. An engineer with little Undo experience built on the AI-generated insights and identified and logged the root cause in the bug tracker by mid-week, start to finish in under a week.

  • 3 weeks to 15 minutes

    3 weeks to 15 minutes

    A production bug that would traditionally have taken weeks to resolve was root-caused in minutes. Once they captured the failing run in a recording, an AI agent investigated it and pinpointed the exact root cause within 15 minutes. That’s a 100x faster time to resolution.

  • Higher customer satisfaction at scale

    Higher customer satisfaction at scale

  • Production crash to RCA in under a week

    Production crash to RCA in under a week

    A customer system crashed on Friday, with an Undo recording on the box. By Monday, the recording had reached the vendor’s support team, who used AI to analyze it. An engineer with little Undo experience built on the AI-generated insights and identified and logged the root cause in the bug tracker by mid-week, start to finish in under a week.

What your team gains

Contain escalations

Get to the root cause of P1 customer issues inside a single status-call cycle, resolving in hours, not days, and restoring control.

Solve the unsolvable

Root-cause intermittent, environment-specific, and hard-to-reproduce failures that traditional methods leave open indefinitely.

Protect the roadmap

Reclaim engineering capacity from firefighting, reduce customer escalations, and keep your team focused on building.

Customer success

Expert-Led Enablement for Long-Term Impact

Undo provides more than a tool. We partner with our customers to ensure our customers achieve their objectives. Our three-tier Customer Success program is designed to deliver time-to-value within weeks, lasting engineering impact, and expert guidance at every stage.

FAST, CONFIDENT ONBOARDING

Seamless Integration

We integrate Undo and our MCP server into your production infrastructure with minimal disruption, ensuring compatibility with your systems and workflows.

Production Recording Enablement

We configure Undo to capture and securely store recordings of failures in production environments.

SKILLS THAT STICK

Hands-On Product Training

Interactive lab-based sessions delivered by Undo engineers, the experts behind the technology, helping your team get the most from our tools from day one.

Advanced Debugging Workshops

Bring your toughest bugs. We’ll work side-by-side to analyze root causes, improve dynamic logging, and teach best practices for AI prompting.

LONG-TERM PARTNERSHIP

Quarterly Business Reviews

Structured reviews with your key stakeholders to track adoption, measure value, and align on what’s next.

Forward-Deployed Engineers

Undo’s forward-deployed engineers embed with your team to solve complex challenges. Hands-on expertise exactly where you need it.

Want to discuss if this could work in your environment?