Automatically triage your bugs in Fibery with AI agents
Swiftask transforms your backlog management. Your AI agents analyze every new bug in Fibery to classify, prioritize, and assign them instantly.
Result:
Save hours every week. Eliminate the bottleneck of manual triage and speed up your development cycle.
AI Agents
fibery
Connector fibery · Secure OAuth 2.0
Manual bug triage slows down your development cycles
The volume of user feedback and bugs can quickly overwhelm your engineering teams. Without automation, triage becomes a repetitive and time-consuming task that distracts your developers from their core mission: coding.
Main negative impacts:
Cluttered and disorganized backlog
Untriaged bugs pile up. Visibility on technical debt becomes blurry, making sprint planning difficult.
Subjective prioritization
Manual triage is often inconsistent. Critical bugs are sometimes ignored while minor issues are over-prioritized.
Increased response times
Time spent manually reading, categorizing, and assigning tickets delays the actual work by developers.
Swiftask connects to Fibery to fully automate this process. The AI agent analyzes content, evaluates criticality, and updates Fibery fields in real-time.
BEFORE / AFTER
What changes with Swiftask
Traditional backlog management
A new bug arrives. A Product Manager or Lead Dev must read it, check for duplicates, estimate priority, and manually assign it in Fibery. This process is slow, error-prone, and expensive.
Intelligent triage with Swiftask + Fibery
Upon ticket creation in Fibery, the Swiftask agent analyzes it, checks for duplicates, adjusts priority, adds tags, and automatically assigns it to the right technical team.
Setting up your AI triage in 4 steps
1
STEP 1 : Define your triage rules
Configure your agent in Swiftask with your criteria: keywords, severity, product type. The AI learns your standards.
2
STEP 2 : Connect Fibery
Link your Fibery workspace. Swiftask syncs with your bug databases without heavy technical intervention.
3
STEP 3 : Activate automatic analysis
The agent monitors new tickets. It extracts relevant info and updates ticket properties in Fibery.
4
STEP 4 : Monitor and adjust
Check the Swiftask dashboard to see actions taken. You keep full control and can adjust rules at any time.
What your agent can do for Fibery
The agent examines the title, description, associated logs, and user context to ensure precise classification.
- Target connector: The agent performs the right actions in fibery based on event context.
- Automated actions: Automatic categorization by product or module. Prioritization based on user impact. Dynamic assignment to teams. Duplicate bug detection. Slack or Teams notifications for critical bugs.
- Native governance: All changes are traceable in your Fibery entity history.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-fibery@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why automate your triage with Swiftask
Immediate standardization
Every bug is handled according to your business rules, ensuring full consistency in your backlog.
Focus on development
Your developers no longer waste time triaging tickets: they receive tasks already qualified.
Reduced Time-to-Fix
The transition from report to action is almost instantaneous.
Data governance
Your data structure in Fibery stays clean and ready for reporting.
Scalability
Your ticket processing capacity grows without needing to hire administrative staff.
Security and privacy
Swiftask applies enterprise-grade security standards for your fibery automations.
- Secure API connection: The integration complies with Fibery and Swiftask security standards.
- Granular control: You choose the Fibery workspaces the agent has access to.
- Full audit trail: Every action by the agent is logged for total transparency.
- Compliance: Your data remains private and is not used to train third-party models.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your engineering productivity
| Metric | Before | After |
|---|---|---|
| Triage time per ticket | 5 to 10 minutes | A few seconds |
| Prioritization accuracy | Variable (human) | High (consistent AI) |
| Response time | Several hours | Real-time |
| Operational cost | High (manager time) | Minimal |
Take action with fibery
Save hours every week. Eliminate the bottleneck of manual triage and speed up your development cycle.