android-debugging

Android Debugging

Overview

Extends superpowers:systematic-debugging with Android-specific evidence-gathering and investigation techniques.

REQUIRED BACKGROUND: You MUST follow superpowers:systematic-debugging. Complete Phase 1 (root cause investigation) before attempting any fix. This skill provides Android-specific tools for each phase.

Evidence-Gathering by Problem Type

Crashes & Exceptions

# Stream crash logs filtered by app package
adb logcat --pid=$(adb shell pidof -s com.example.app)

# Save full logcat to file for analysis
adb logcat -d > crash_log.txt

# Filter by tag
adb logcat -s "YourTag:E"

Key logcat log levels: V (verbose) D (debug) I (info) W (warn) E (error) F (fatal)

Read the full stack trace — the root cause is usually at the bottom of the Caused by: chain, not the top-level exception.

ANR (Application Not Responding)

ANRs mean the main thread was blocked. Evidence:

# Pull ANR trace from device
adb pull /data/anr/traces.txt ./anr_traces.txt

# Or stream while reproducing
adb logcat -s "ActivityManager:E" | grep -A 30 "ANR in"

Look for: main thread in state MONITOR (waiting for a lock) or blocking I/O on main. Trace backward to find what holds the lock.

Common causes: Database/network call on main thread, runBlocking on main thread, deadlock between coroutine scopes.

Memory Leaks

Add LeakCanary to debugImplementation. It surfaces leak traces automatically in a notification.

Read the leak trace top-to-bottom: the first bold line is the leaking object, the path shows what's holding the reference. Fix by clearing the reference in the appropriate lifecycle callback.

# Dump heap manually for Android Profiler analysis
adb shell am dumpheap com.example.app /data/local/tmp/heap.hprof
adb pull /data/local/tmp/heap.hprof ./heap.hprof

Performance Trace Investigation (Perfetto)

For bottleneck investigation across CPU, graphics, I/O, IPC, memory, or power — beyond what Logcat and ANR traces show — capture a Perfetto trace and query it with SQL.

Measure before you fix. For performance regressions, logs usually mislead — capture a baseline measurement before changing anything, then bisect against it. A trace tells you where time goes; only a comparison against a known-good baseline tells you what actually regressed.

# Capture a trace (system-level, all categories)
adb shell perfetto -c - --txt -o /data/misc/perfetto-traces/trace.pftrace \
  <<'EOF'
buffers { size_kb: 65536 }
data_sources { config { name: "linux.ftrace" } }
data_sources { config { name: "android.surfaceflinger.frame" } }
duration_ms: 10000
EOF

adb pull /data/misc/perfetto-traces/trace.pftrace ./

Then open the trace at https://ui.perfetto.dev and run SQL against it (SELECT name, dur FROM slice WHERE dur > 16e6 for frames slower than 16ms, etc.).

For an agent-driven workflow — translating an investigation intent (jank, slow startup, battery drain) into the right Perfetto SQL and iterating across the trace — see Google's perfetto-sql and perfetto-trace-analysis skills (android skills list to check for a local install; android skills add perfetto-sql perfetto-trace-analysis otherwise). They provide Domain Hints (CPU/Graphics/I/O/IPC/Memory/Power), a mandatory scratchpad chain-of-evidence pattern, and GLOB-over-LIKE query rules.

R8 / ProGuard — Obfuscated Stack Traces

Release crash stack traces are obfuscated. Decode them with the mapping file generated at build time.

# retrace a crash (AGP 7+)
./gradlew :app:retrace --stacktrace-file crash.txt

# Or use the retrace CLI directly
java -jar retrace.jar mapping.txt crash.txt

Mapping files are in app/build/outputs/mapping/<variant>/mapping.txt. Always archive them alongside release builds.

If a class is unexpectedly removed or renamed, add a -keep rule in proguard-rules.pro and verify with:

./gradlew :app:assembleRelease
# Then inspect: app/build/outputs/mapping/release/usage.txt (removed) and seeds.txt (kept)

For the inverse problem — reading obfuscated third-party code or decoding a stack trace from a library where the mapping file isn't yours — retrace doesn't apply. Use jadx --deobf (consistent renames across the decompiled output) or jadx --deobf-map (when the SDK ships a mapping). The android-reverse-engineering plugin covers the full workflow including the anchor-via-strings strategy for navigating obfuscated code by string literals and framework class names that survive obfuscation (check if it's already installed locally first — it ships as android-reverse-engineering:* skills).

Gradle Build Failures

Read the error from the bottom up — Gradle wraps errors in multiple layers.

Common patterns:

Error	Investigation
Manifest merger failed	Check app/build/intermediates/merged_manifests/ for the merged output; look for conflicting android: attributes
Duplicate class	Run ./gradlew dependencies and look for the same class in multiple transitive deps; use exclude or force a version
Could not resolve	Check repository declarations, VPN/proxy, dependency version exists
D8/R8: Type not present	Missing keep rule or desugaring issue; check minSdk vs API used
KSP / KAPT error	Look for the processor's own error above the Gradle wrapper message

# Full dependency tree for a configuration
./gradlew :app:dependencies --configuration releaseRuntimeClasspath

# Run with stacktrace for deeper Gradle errors
./gradlew assembleDebug --stacktrace --info 2>&1 | grep -A 20 "FAILED"

Runtime UI Inspection

When a bug is visual (wrong element state, missing content, overlap), dump the layout tree directly instead of reasoning from a screenshot:

# Full layout tree as JSON — search by class/text/bounds instead of parsing an image
android layout --pretty

# Only elements that changed since last call — useful for animations or transient state
android layout --diff --pretty

# Target a specific device, write to file
android layout --device=emulator-5554 -o layout.json

Prefer android layout over adb screencap whenever the question is "what is the UI state?" rather than "what does it look like?". The JSON tree is grep-able and survives --diff state across invocations.

Compose Recomposition Bugs

For deeper Compose performance analysis (stability, recomposition skipping, baseline profiles), see android-skills:compose → references/performance.md.

Wrong state or unexpected re-renders:

1. Layout Inspector (Android Studio) → enable "Show recomposition counts" to identify hot paths. For headless/CLI workflows, android layout --diff gives a JSON tree of what changed between frames.
2. Add SideEffect { Log.d("Recompose", "MyComposable recomposed") } temporarily to confirm
3. Check that State objects are not created inside the composition (use remember)
4. Verify equals() on state data classes — a new object with same values still triggers recomposition if equals is not implemented

Note: Since Compose compiler 2.0+ (Kotlin 2.0+), strong skipping mode is enabled by default and the compiler automatically memoizes lambdas that capture stable references. Manual remember {{ }} wrapping is no longer necessary in most cases. If you see excessive recomposition from lambdas, check whether the captured references are unstable (mutable collections, non-data classes) rather than wrapping in remember.

ADB Quick Reference

# List connected devices
adb devices

# Install APK
adb install -r app-debug.apk

# Launch activity
adb shell am start -n com.example.app/.MainActivity

# Clear app data
adb shell pm clear com.example.app

# Take screenshot (for visual diffing; for UI state bugs, prefer `android layout` — see Runtime UI Inspection)
adb exec-out screencap -p > screen.png

# View running processes
adb shell ps | grep com.example

# Check app's SharedPreferences / databases
adb shell run-as com.example.app ls /data/data/com.example.app/

Multi-Component Evidence Template

For issues spanning multiple layers (e.g. Repository → ViewModel → UI):

// Temporarily instrument each boundary with a UNIQUE run-specific tag
// (pick a fresh suffix per session, e.g. DEBUG-a4f2) so the SAME tag both
// filters logcat at runtime and greps cleanly at teardown.
class UserRepository(...) {
    suspend fun fetchUser(id: String): User {
        Log.d("DEBUG-a4f2", "Repository: fetching user $id")
        val result = api.getUser(id)
        Log.d("DEBUG-a4f2", "Repository: received ${result}")
        return result
    }
}

Run once to identify which layer produces the bad value. Filter the run at runtime with adb logcat -s "DEBUG-a4f2", then tear the instrumentation back out with a single grep -rl "DEBUG-a4f2". A unique per-session tag is what makes both one-liners work — a shared tag like DEBUG_LAYER collides across sessions and leaves orphaned logs behind. Then investigate the implicated layer in isolation before proposing a fix.

Red Flags

• Fixing a crash without reading the full Caused by: chain
• Guessing at an R8 issue without checking the mapping file
• Adding Thread.sleep() to "fix" an ANR or race condition
• Resolving a dependency conflict by adding exclude without understanding why the duplicate exists
• Fixing a Compose bug by wrapping in key() without understanding what triggers recomposition
• Leaving temporary instrumentation in the tree — tag every debug log with a unique per-session prefix (e.g. DEBUG-a4f2) so cleanup is one grep, and remove them all before declaring the fix done