Swiftask analyzes your Airbrake errors in real time. Our AI classifies, prioritizes, and assigns each incident to the right developers without any manual intervention.
Result:
Drastically reduce incident response time and prevent backlog saturation.
AI Agents
airbrake
Connector airbrake · Secure OAuth 2.0
Your developers waste precious time filtering through hundreds of Airbrake alerts. Manual triaging is inefficient, error-prone, and delays critical bug fixes.
Main negative impacts:
Alert fatigue
Teams are overwhelmed by a massive volume of errors, making it difficult to identify truly critical issues.
Increased response times
Time spent manually analyzing, triaging, and assigning bugs delays their resolution.
Fragmented context
Lack of automatic prioritization prevents a clear view of your application's health.
Swiftask connects your Airbrake alerts to a specialized AI that automates triaging, priority analysis, and assignment, allowing your team to focus solely on fixing bugs.
BEFORE / AFTER
Without Swiftask
A new error occurs in Airbrake. A developer must interrupt their work to analyze the error, verify if it is critical, and manually assign it in Jira or Slack. This manual, repetitive process creates significant cognitive fatigue.
With Swiftask + Airbrake
Swiftask receives the Airbrake error. The AI instantly analyzes the stack trace, compares it to past incidents, determines the priority, and creates or updates the appropriate ticket with all necessary contextual information.
1
STEP 1 : Create your triage agent in Swiftask
Configure an agent dedicated to technical triaging in Swiftask without writing a single line of code.
2
STEP 2 : Connect your Airbrake source
Link your Airbrake project to Swiftask via a secure integration to enable error reading.
3
STEP 3 : Define your priority rules
Teach the AI your severity criteria (e.g., critical errors on the master branch, high occurrence rate).
4
STEP 4 : Activate and automate
Your agent now processes every incoming error according to your established governance rules.
The agent analyzes: stack trace, frequency, environment (prod/staging), and history of similar fixes.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-airbrake@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.
Move from hours of manual triaging to near-instant automation.
Your developers prioritize work that actually impacts users.
Eliminate repetitive and tedious alert management tasks.
Each error is accompanied by the data needed for immediate resolution.
Standardize your incident management across all your projects via Swiftask.
Swiftask applies enterprise-grade security standards for your airbrake automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Triaging time | Minutes per error | Seconds |
| Triaging accuracy | Variable (human) | Consistent and automated |
| Resolution time | High (waiting for triage) | Reduced (immediate assignment) |
| Manual workload | Significant | None |
Drastically reduce incident response time and prevent backlog saturation.