Bug Tracking Automation

Launch AI-first workflows for bug tracking in minutes. Automate intake, triage, and status updates so engineers focus on fixes instead of busywork.
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Built for Engineering and QA Teams

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Kick off flows from error logs, crash reports, support tickets, or pull requests
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AI steps de-duplicate issues, extract stack traces, and group by root cause
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Route bugs by service, severity, or ownership and notify the right channel
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430+ connectors for repos, CI, issue trackers, observability, and chat
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Credentials stay encrypted.
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Sensitive details never appear in logs due to data masking.
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 Run in our secure cloud or self-host for complete control.

Ship Fixes Faster With Clean, Actionable Bug Reports

Unstructured bug intake drains engineering time. Centralized workflows standardize fields, attach evidence, and keep stakeholders updated so teams reduce MTTR and avoid duplicate work.
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Automated deduplication and evidence collection
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SOC 2 Type II cloud or self-hosted deployment
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Trusted by 100,000+ users worldwide
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Disconnected apps slow teams down and create errors.
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Activepieces fixes that by giving you 400+ integrations in one platform.
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Everything You Need to Scale Automation
Intake and Triage
Create bugs automatically from logs, Sentry/Rollbar events, or support escalations. Normalize titles, severity, environment, and steps-to-reproduce; auto-assign based on ownership maps.
AI-Powered Analysis
Use AI to cluster similar incidents, summarize stack traces, and suggest likely modules or commits. Flag regressions and link to past incidents or known fixes.
Status, Releases, and Comms
Sync issue status with PRs, builds, and deployments. Post updates to Slack/Teams, notify CS when customer tickets are unblocked, and close duplicates automatically.

Automate your work without writing code!

Join 100,000+ users from Google, Roblox, ClickUp and more building secure, open source AI automations.
Start automating your work in minutes with Activepieces.

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FAQs About Bug Tracking Automation

What can we automate for bug tracking?

You can automate creation from logs and tickets, normalize fields, assign owners, and keep statuses synced with your repo and CI. This removes manual triage and speeds time to fix.

How does AI help engineers triage faster?

AI groups duplicate reports, summarizes traces, and points to likely components or recent commits. Engineers start with context, not a blank page.

How do we prevent duplicates and noise?

Flows fingerprint errors, merge similar events, and throttle noisy alerts. Linked incidents and past fixes help avoid rework.

Can we tie fixes to releases automatically?

Absolutely. When a PR merges or a build deploys, statuses update, release notes draft, and stakeholders are notified. No manual steps are required.

How do we measure impact?

Dashboards track MTTR, reopen rate, and regressions by service or version. Trends highlight hotspots so teams can prioritize reliability work.

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