Bug Fix Suggestions

AI analyzes your bug report along with connected SDK data -- network logs, crash traces, and database state -- to suggest potential code fixes. Go from a visual bug report to an actionable fix hypothesis in seconds.

How It Works

  1. Bug report -- your screenshot and annotations describe the visual symptom.
  2. SDK runtime data -- the Snapbug SDK provides technical context from the device: failed API calls, unhandled exceptions, database errors, and more.
  3. AI correlation -- the AI cross-references the visual bug with the technical data to identify the likely root cause.
  4. Fix suggestion -- a structured analysis with a suggested code fix is generated.
info

Bug Fix Suggestions work best when the Snapbug SDK is fully integrated with multiple plugins (Network, Crash Reporter, Database). The more runtime data available, the richer the analysis.

Output Structure

Each suggestion includes:

FieldDescription
Root Cause HypothesisWhat is likely causing the bug
Affected Code AreaModule, class, or function where the issue originates
Suggested FixCode snippet with the proposed change
Confidence LevelHigh, Medium, or Low based on available data

Example Output

Root Cause Hypothesis:
The toggle state is being overwritten by a stale server response.
The PUT request to /api/user/preferences returns the old value,
and the UI rebinds to the response instead of the local state.
 
Affected Code Area:
PreferencesRepository.updatePrivacySetting()
 
Suggested Fix:
// Before: UI state bound directly to server response
fun updatePrivacySetting(enabled: Boolean) {
    api.updatePreference("share_analytics", enabled)
        .onSuccess { response ->
            _state.value = response.currentValue  // Bug: uses server response
        }
}
 
// After: Use optimistic update, only revert on failure
fun updatePrivacySetting(enabled: Boolean) {
    _state.value = enabled  // Optimistic update
    api.updatePreference("share_analytics", enabled)
        .onFailure {
            _state.value = !enabled  // Revert on failure
        }
}
Confidence: High
Evidence: Network log shows PUT /api/user/preferences returning
stale value (share_analytics: true) 800ms after toggle interaction.

Pricing

warning

Bug Fix Suggestions is a Pro+ plan feature. This is the most advanced AI capability in Snapbug.

PlanBug Fix Suggestions
FreeNot available
ProNot available
Pro+Unlimited

Requirements

For the best results, integrate the SDK with the following plugins:

  • Network Inspector -- captures failed API calls, slow responses, and status codes
  • Crash Reporter -- provides stack traces and exception details
  • Database Inspector -- surfaces query errors and schema issues

Without SDK data, the AI can only analyze the visual content of your screenshot. With full SDK integration, the AI has access to the complete runtime picture.

Limitations

warning

Bug Fix Suggestions are AI-generated hypotheses. Always review the suggested code changes before applying them to your codebase. The AI may not have full context of your architecture or business logic.

  • Suggestions depend on the quality and quantity of available SDK data.
  • Complex multi-service bugs may produce lower-confidence results.
  • The AI does not have access to your source code -- suggestions are based on runtime behavior patterns.
  • Confidence level reflects how much supporting evidence was available, not guaranteed correctness.
arrow_backQA NotesAndroidarrow_forward