When a crash lands in your inbox, the hardest part is rarely fixing it; it's understanding it. You stare at a stack trace, dig through fragmented logs, try to reconstruct what the user was doing, and wonder whether this is a one-off or the tip of an iceberg. By the time you've answered all those questions, half the morning is gone.
The AI Debugging Assistant is built to give you those answers in seconds. It's a Luciq Resolve Agent capability that appears in the right sidebar of every crash report. It pulls together the telemetry Luciq has already collected, stack traces, logs, network calls, user actions, device data, and uses AI to surface three things at a glance: why the crash happened, how to reproduce it, and how widespread it is.
How it relates to Resolve Agent: The Resolve Agent generates the actual code fix and opens a pull request. The AI Debugging Assistant focuses on the analysis and triage that comes before the fix, explaining the issue and helping you decide what to do about it.
The AI debugging assistant card sits at the top-right of the crash details page, with a Debug crash button to launch the analysis.
What the Assistant gives you
The AI Debugging Assistant is built around three capabilities, all available from a single panel with no context-switching:
Root Cause Analysis: a plain-English explanation of what failed and why, with direct links back to the specific code and network calls involved.
Common Reproduction Steps: a sequential reconstruction of what the user did before the crash, so that you can reproduce it locally without guesswork.
Pattern Insights: a multi-factor correlation that tells you whether a crash is a global problem or a localized edge case.
You can use them in any order. The interface is designed to support different debugging styles; start wherever you think best.
Where to find it
When you open any crash report in your dashboard, the AI Debugging Assistant panel appears in the right sidebar. Click Debug crash to launch the analysis. All three capabilities (Root Cause, Reproduction, Patterns) are accessible from that single panel.
Root Cause Analysis
Root Cause Analysis goes beyond the stack trace to give you a complete understanding of why a crash occurred. It's especially useful for opaque crashes, such as Out-of-Memory (OOM) errors or ANRs, that don't leave a clear trail to follow.
When you open Root Cause Analysis, you'll see three things:
Summary. A plain-English explanation of the failure, written for quick comprehension. It tells you what happened, which component was affected, and what likely triggered it.
Evidence. Direct snippets from the crash logs and stack trace pinpoint the exact line of code or call where the failure occurred. No more guessing which line in a 200-line method was the culprit.
Contributing factors. Supplementary insights into conditions that may have contributed to the crash, things like memory pressure or leaks, elevated backend latency, specific OS or device configurations, and thread contention or deadlocks.
The Root Cause card shows the Summary, the Root Cause description, Evidence pulled directly from the crash logs, and, at the bottom, Contributing Factors.
Common Reproduction Steps
The most time-consuming part of fixing a bug is often proving it exists on your own machine. Common Reproduction Steps reconstructs the sequence of user actions that led to the crash, so you can stop guessing how to trigger it.
The Assistant analyzes session telemetry, screen navigation events, taps, scrolls, and other interactions to build a chronological timeline of the user's actions just before the crash. You get a clear, ordered set of steps you can follow on your own device.
Prerequisite: This capability relies on User Repro Steps, which are enabled by default in the Luciq SDK. If your team has disabled it, you'll need to re-enable it for Common Reproduction Steps to work. See the platform-specific Repro Steps documentation for iOS, Android, React Native, or Flutter for details.
The Reproduction Steps card shows a numbered list of user actions, view changes, and taps that lead up to the crash.
You can give the Assistant a thumbs-up or thumbs-down on the reproduction steps to help improve future analyses for your team.
Pattern Insights
The most useful part of Pattern Insights is its ability to identify multi-factor correlations, compound conditions in which a crash occurs only when two or more factors align. For example, the Assistant might tell you that a crash happens specifically when the Login V2 feature flag is enabled, and the user is on iOS 26, combining a feature-flag dimension with an OS-version dimension into a single insight.
Each pattern is shown alongside the percentage of occurrences it accounts for, so you can immediately see how dominant each pattern is and prioritize your fix accordingly.
The Pattern Insights card has a Summary, followed by individual patterns labeled with the percentage of occurrences they account for.
That kind of detail turns a vague “we have a crash” report into a precise “we have a crash for users on this OS with this flag enabled” which makes prioritization, scoping, and rollback decisions much easier.
When to use the AI Debugging Assistant
The Assistant is most valuable when:
The stack trace doesn’t tell you enough. OOMs, ANRs, threading bugs, and other crashes where the failure point is unclear from the trace alone.
You can’t reproduce the bug locally. The Reproduction Steps timeline turns “works on my machine” into a concrete script to follow.
You’re prioritizing crashes for the next release. Pattern Insights tells you which crashes affect a broad segment of users versus those that affect only a small slice of users.
You’re onboarding a new engineer. The plain-English Summary makes it easier for someone new to the codebase to understand what happened without deep context.
Still have questions about the AI Debugging Assistant? Reach out to our support team on the Luciq dashboard. We’re happy to help.