Whole-System Android Debugging
Analyze Complete Android System Behavior From a Single Bugreport
A bugreport captures every layer of the Android stack. logcat.ai reads all of them together -- correlating kernel events, framework state, and app behavior to surface the actual root cause, not just symptoms.
Watch it work on a real one
One bugreport, one question. It forks four hypotheses and proves that a memory leak and a thermal-throttling core drove the device's watchdog reboot.
“Memory is leaking, a CPU core is throttling at 95C, and the device rebooted. Are these related, and what caused it?”
A memory-leak and thermal-throttle chain triggered a watchdog reboot
Yes, three of the five problems form one causal chain. com.android.settings leaks memory progressively across sessions, reaching 819 MB RSS; at the same time com.whatsapp holds 19 to 25% of a CPU core for over 37 minutes, driving CPU7 to severe thermal throttling at 95.2C. Under that combined RAM and thermal pressure, a system watchdog externally signaled init with SIGABRT, triggering a reboot. Two problems are independent: a shipping SELinux policy gap where vendor_qms generates 500+ enforced denials that block modem diagnostic logging, and a HAL process that died abruptly, leaving dead binder nodes that degrade IPC system-wide.
The full investigation, end to end
Not a highlight. The entire deep-research run, following the memory-and-thermal chain to the reboot.
Before it answers, it reads the device
Every bugreport is first reduced to a cited identity and a scored, cross-layer health profile: the deterministic floor every investigation builds on.
FingerprintHand thread in system_server consuming 52.5% CPU — busy-wait in the fingerprint HAL.
Android System (UID 1000) drawing 65% of total power in the background — abnormal system-server CPU.
Both SIM slots OUT_OF_SERVICE with RIL connection failures — no cellular fallback.
/vendor partition at 99.7% — 0 bytes free, risks OTA update failures.
SystemUI at 128 MB PSS / 331 MB RSS — elevated but within range; monitor for growth.
The whole capture, on one timeline
Every bugreport opens to a multi-lane event timeline: crashes, process churn, security denials, and foreground activity on a shared axis, so a burst at 3am lines up with the reboot that followed it.
Quiet in this capture · Fatal exceptions · App freeze / unfreeze · Low-memory kills · Network up / down · switch · Weak signal (RSRP ≤ -110)
Charts from a real bugreport
Auto-generated from the report. A fraction of the full dashboard, every value traced back to a line.
Real output from an actual analysis · identifiers scrubbed
Why Manual Analysis Takes Hours
Bugreports are notoriously difficult to analyze manually
Massive Scale
100MB+ compressed, 500K-1M+ lines uncompressed. A single logcat buffer can have 50K+ entries. dumpsys alone spans 100+ system services.
Cross-Subsystem Issues
Root cause in kernel → symptom in app layer. Memory pressure → GC pauses → ANR. Thermal throttling → CPU scheduling → jank. Requires correlating timestamps across sections.
OEM Fragmentation
Samsung, Xiaomi, OnePlus, Pixel all have different custom services, modified frameworks, proprietary dumpsys outputs, and vendor-specific kernel drivers.
Android Version Differences
Bugreport format changes between versions. New sections added, deprecated sections removed. Different log tag conventions and API behavior changes.
The Real Cost of Manual Analysis
- 01Senior engineers spend 2-8 hours hunting through logs instead of solving the actual problem
- 02Teams lose valuable context when only senior engineers can debug complex issues
- 03Critical issues get buried in noise
- 04No systematic coverage - easy to miss subsystems
- 05Knowledge silos - only experts know where to look
What logcat.ai Does Differently
Cross-subsystem reasoning that connects symptoms to root causes
Cross-Subsystem Root Cause Analysis
AI traces causal chains across layers: kernel memory pressure causing GC storms causing ANRs. Correlates timestamps across 30+ sections automatically. Finds the root cause, not just the symptom.
10 Specialized Analyzers, One Unified View
Apps, System Services, Memory, Power, Network, Storage, Security, Performance, Device Info, and Errors analyzed in parallel. Results merged into a single prioritized view. Severity ranked from Critical to Low with actionable recommendations.
Full Log Viewers Built In
Logcat and kernel logs extracted and indexed from the bugreport. Interactive timeline visualization across all log sources. Filter by tag, priority, time range -- all in one place.
Ask Questions in Plain English
Natural language queries: "What caused the ANR at 2:15pm?" Answers in under 5 seconds. No grep or logcat expertise required.
What's Inside an Android Bugreport?
A bugreport is a comprehensive diagnostic snapshot of an Android device, containing 30+ sections of system data. Generated via adb bugreport or device settings, it captures everything needed to diagnose issues.
System logs, app logs, crash traces, ANR traces
System events, activity lifecycle, broadcasts
Kernel logs, driver errors, hardware events
State of all system services (100+ services)
Memory usage by process, OOM scores
Battery usage, wakelocks, power events
Installed apps, permissions, versions
Build info, device config, feature flags
Thread dumps at time of ANR
Native crash dumps with stack traces
You showed up with one of these
Three ways a bugreport lands on your desk, and what comes back.
A field crash you can't reproduce
A user hit it once, on a device you don't have, and the repro steps are "it just froze." The investigation above traced that exact capture to a fingerprint-HAL null handle — cited to the line, no re-run needed.
A fleet of captures, no time to read them
Hundreds of bugreports from QA and the field, each a hundred megabytes. The analysis ranks them by what actually broke and groups the ones sharing a root cause, so you triage the pattern instead of the pile.
A log you need to see, not read
Sometimes you don't want findings prose: you want the shape of what happened. The dashboard above wasn't a template; it read this bugreport's structure and what was actually breaking, then drew the charts that fit it: the boot timeline, the failing subsystems, the moments that mattered.
Common questions
Frequently Asked Questions
Everything you need to know about bugreport analysis
We support .zip files from `adb bugreport` (Android 7+) and .txt files from older devices. The parser automatically handles different Android versions and OEM-specific formats, including vendor-specific sections from Samsung, Xiaomi, OnePlus, and other manufacturers.
Quick Search answers questions in under 5 seconds. Full 10-subsystem AI analysis takes 3-4 minutes depending on file size and complexity. Deep Research investigations, which autonomously search across all sections and reference external documentation, typically complete in 5-10 minutes.
Our AI detects app crashes and ANRs with full stack traces, memory leaks and OOM events with allocation patterns, battery drain from wakelock abuse, thermal throttling and CPU scheduling issues, SELinux denials and security policy violations, and network connectivity problems. Each issue includes severity ranking and actionable recommendations.
Yes - we support all major manufacturers including Samsung, Xiaomi, OnePlus, Pixel, Oppo, Vivo, and any AOSP-based device. Our parser handles vendor-specific sections, custom dumpsys outputs, and proprietary logs. Tested across Android 8 through 15 with continuous updates for new versions.
Your data is protected with encryption in transit (TLS 1.3) and at rest (AES-256). Files are automatically deleted after 90 days, and you can request immediate deletion at any time. We never use your log data for AI model training. Enterprise plans offer on-premise deployment for complete data control.
Yes - optimized for large files with streaming upload that won't crash your browser. Processing is parallelized across our infrastructure for fast analysis regardless of file size.
Start Debugging the Whole System
Upload a bugreport and let logcat.ai connect the dots across every layer