Bug triage
Bugs arrive from Slack, Jira, Linear, and GitHub with no consistent format. ProDexter classifies, deduplicates, gathers code context, and routes each bug to the right engineer.
The problem
Bug reports arrive from support tickets, Slack threads, GitHub issues, and project trackers with no consistent format or priority. Engineers waste hours reading duplicates, guessing severity, hunting for related code changes, and figuring out who owns the affected area.
Bugs arrive from everywhere
Support tickets, Slack threads, GitHub issues, Jira, Linear. Each source uses different formats. There is no single intake queue.
Hours lost on context gathering
Before fixing a bug, engineers hunt for related commits, past bugs, and the right person to ask. The first hour is investigation, not resolution.
Duplicates and misrouted bugs
The same bug gets reported three times across different tools. Each report goes to a different team. Priority is guessed, not assessed.
How ProDexter handles it
ProDexter ingests bug reports from every channel into a single queue. The context and research agents classify severity, detect duplicates, and attach relevant code history. The planner agent identifies the right owner using the context graph and assigns the bug with full context attached.
The workflow
Ingest from every source
Native connectors pull new bug reports from Slack, Jira, Linear, GitHub Issues, and support tools into a single queue as they arrive.
Classify severity and priority
The context agent checks the company context graph for affected customers, recent incidents, and service dependencies, then assigns severity and priority based on your team's definitions.
Detect duplicates
The research agent compares each report against open and recently closed bugs using symptoms, stack traces, and affected components. Duplicates are linked and merged automatically.
Gather code context
The context agent pulls recent commits, related pull requests, and past bugs for the affected code area from GitHub and your knowledge base. Engineers get a ready summary instead of searching manually.
Route to the right owner
The planner agent identifies the team and individual who own the affected component using the context graph's map of people, teams, and repos. The bug is assigned in your tracker with all gathered context attached.
Escalate high-severity bugs
Risk-tiered execution flags high-severity bugs for immediate human approval and notifies on-call engineers. Routine low-severity bugs flow through automatically.
What makes this work
Multi-source ingestion
Native connectors pull bug reports from Slack, Jira, Linear, GitHub Issues, and support tools into a single queue as they arrive.
Automatic deduplication
The research agent compares symptoms, stack traces, and affected components against open and recently closed bugs. Duplicates are linked automatically.
Code context attached
Recent commits, related pull requests, and past bugs for the affected area are pulled from GitHub and attached to the report before the engineer sees it.
The outcome
Every incoming bug is automatically classified, deduplicated, enriched with code and conversation context, and routed to the right owner. Engineers start each bug with full context instead of spending the first hour gathering it.
Every bug classified and prioritized
Severity and priority assigned from affected customers, service dependencies, and your team definitions.
Duplicates caught before assignment
Reports from different sources about the same issue are linked and merged.
Full code context from the start
Engineers get relevant commits, PRs, and past bugs attached. No manual searching.
Routed to the right owner
The context graph maps components to teams and individuals. The bug lands in the right queue.
See ProDexter on your own workflows
A 30 minute walkthrough with your use case, your apps, your questions.