Understand failures faster, with context, not guesswork
Zof analyzes failures across executions to surface root cause and impact.
Bug Analysis in Zof connects failures to their root cause by correlating executions, changes, environments, and agent findings.
Why bug analysis breaks down today
Traditional debugging leaves teams guessing at root causes.
Failures without context
Raw error logs don't explain what changed or why it failed.
Logs scattered across systems
Searching through multiple tools to piece together what happened.
Hard to tell what actually changed
No clear link between deployments, code changes, and failures.
Slow, manual root-cause analysis
Hours spent correlating events instead of fixing issues.
What changes with Zof bug analysis
Turn failures into actionable insight with structured correlation and context.
Failures grouped and correlated
Similar failures automatically grouped with shared root causes identified.
Clear links between runs, agents, and changes
See exactly which execution, agent, and code change led to each failure.
Faster root-cause identification
Structured context surfaces likely causes in minutes, not hours.
Fewer repeat regressions
Historical correlation prevents the same issues from recurring.
How bug analysis works in Zof
From execution to insight: structured analysis that accelerates root-cause identification.
Executions produce structured results
Every test run generates structured results with agent findings, environment context, and execution metadata.
Failures are grouped and correlated
Similar failures are automatically grouped. Zof correlates failures across executions, agents, and time periods.
Context is attached
Each failure is enriched with context: which agent detected it, what workflow ran, which environment, and what code changed.
Signals highlight likely root causes
Analysis signals surface patterns: recent changes, environment differences, agent-specific issues, and historical correlations.
Findings surface in dashboards and reports
Root cause insights appear in the Bug Analysis dashboard, reports, and can trigger alerts or create tickets automatically.
Executions produce structured results
Every test run generates structured results with agent findings, environment context, and execution metadata.
Failures are grouped and correlated
Similar failures are automatically grouped. Zof correlates failures across executions, agents, and time periods.
Context is attached
Each failure is enriched with context: which agent detected it, what workflow ran, which environment, and what code changed.
Signals highlight likely root causes
Analysis signals surface patterns: recent changes, environment differences, agent-specific issues, and historical correlations.
Findings surface in dashboards and reports
Root cause insights appear in the Bug Analysis dashboard, reports, and can trigger alerts or create tickets automatically.
Failure correlation and analysis
How Zof connects executions, failures, and changes to surface root cause.
What you see in the Bug Analysis dashboard
Structured insights that accelerate diagnosis and reduce MTTR.
Grouped failures by root cause
Failures automatically grouped with shared root causes identified and ranked by likelihood.
Correlation with recent changes
See which deployments, commits, or configuration changes correlate with failure patterns.
Environment and configuration context
Full context about the environment, configuration, and system state when failures occurred.
Reproduction signals
Indicators showing which failures are reproducible, intermittent, or environment-specific.
History of similar issues
Historical view of similar failures, their resolutions, and patterns over time.
Structured analysis reports
Comprehensive reports with evidence, correlation data, and recommended actions.
Bug analysis for incident review and prevention
Built for teams that need fast, accurate root-cause analysis and prevention.
Faster RCA
Root cause analysis in minutes instead of hours, with structured evidence and correlation data.
Better postmortems
Comprehensive context for postmortem documentation: what changed, what failed, and why.
Prevention of repeat failures
Historical correlation and pattern detection prevent the same issues from recurring.
Shared visibility across teams
Engineering, QA, SRE, and security teams see the same structured analysis and context.
From analysis to action
Bug analysis connects to your existing workflows and tools.
Related
Explore how bug analysis fits into the broader Zof platform