Crashes For Agents
Structured crash context that your AI coding agent can actually consume — without blowing up the context window.
Crashes have thousands of occurrences. Reviewing them one by one is impossible, and feeding raw crash data into an AI agent burns tokens and hits context limits fast. Luciq's engine processes those occurrences and distills them into structured, AI-ready aggregations — the kind agents can consume, reason over, and act on.
The result: full crash context available in your IDE, with no dashboard context-switching required.
How It Works
When you open a crash in the AI debugging assistant, you get two modes:
Debug mode
Interactive AI analysis for investigating the crash with follow-up questions.
Agent mode
Structured crash aggregations formatted for your AI coding agent. Copy or export as Markdown, then paste directly into Cursor, Claude Code, Copilot, or any agent.
Agent mode is where Crashes for AI Agents lives. It gives your agent the distilled signal it needs — not the raw noise.
What's in an Aggregation
Each aggregation covers the full crash picture across all occurrences, structured into sections your agent can parse and act on:
Crash overview A top-level summary: total occurrences, affected users, first seen, and last seen — with app version pinpointed.
Stacktrace The full symbolicated stacktrace with app frames highlighted. Frames are labeled by origin (app code vs. system), so your agent knows exactly where to look.
Environment Distribution breakdowns across device model, OS version, app version, and app status (foreground/background). Your agent sees which configurations are hit hardest — e.g. "67% of occurrences on OS Level 35."
Device health Hardware metrics at crash time — memory usage, battery level, storage, and session duration — with mean, p50, and p90 distributions. Surfaces low-memory or long-session patterns that raw stacktraces miss.
Screen flows The navigation paths users took before crashing, ranked by frequency. Helps your agent understand the user journey and reproduce the conditions.
Crash screens The specific screens active at crash time, with occurrence counts and percentages. Narrows down which view or fragment is in the hot path.
Privacy & AI Processing
No LLM calls are required. Crashes for AI Agents runs entirely on Luciq's own data processing engine. No crash data is sent to an external model to generate the aggregations.
The one exception is Screen flows: if screen flow summarization is enabled for your app, screen names are passed to an LLM to generate path labels. This involves no PII — only screen names (e.g.
MainActivity → ReadingStatsFragment). This can be disabled per request if your organization has AI or LLM restrictions.
Availability
Crashes for AI Agents is available across all platforms and requires only an app token to enable. Contact your success manager or reach out to the team to enable it.
Related
Luciq MCP Server — Pull crash aggregations directly into your coding agent via MCP, no dashboard required.
Agent Skills — Methodology that turns crash data into a real fix, end-to-end.
AI Debugging Assistant — Debug mode for interactive crash analysis.
Last updated