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Dynamically assign your Airbrake errors with AI agents

Swiftask connects your AI agents to Airbrake. When an error occurs, the AI analyzes it and automatically assigns it to the most qualified developer or team.

Resultat:

Reduce Mean Time To Resolution (MTTR) and eliminate bottlenecks in manual ticket triaging.

Manual Airbrake error triaging slows down your technical teams

With a constant stream of errors, manual triage is inefficient. Errors remain unassigned, are sent to the wrong person, or are lost in the noise. This creates frustration and increases critical downtime.

Les principaux impacts négatifs :

  • Delayed response time: Time lost identifying the owner of the error delays the start of the resolution.
  • Cognitive overload for leads: Technical leads spend too much time dispatching tickets instead of coding.
  • Routing errors: Incorrect assignment leads to unnecessary back-and-forth and reduced team motivation.

Swiftask analyzes the stack trace and context of each Airbrake error to automatically assign the ticket to the right developer in real time.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

A critical error is detected on Airbrake. A manager receives a notification, analyzes the log, checks who is available, then manually assigns the ticket. The error sits for 30 minutes before being addressed.

With Swiftask + Airbrake

The error is captured by Airbrake. The Swiftask agent reads the stack trace, identifies the relevant module, and assigns the ticket to the responsible developer in seconds.

Setting up dynamic assignment in 4 steps

ÉTAPE 1 : Connect Airbrake to Swiftask

Use your Airbrake API key to connect your environment to Swiftask in just a few clicks.

ÉTAPE 2 : Define routing rules

Teach your AI agent how to recognize errors and link them to the experts in your team.

ÉTAPE 3 : Activate intelligent analysis

The agent processes incoming data and applies your assignment rules automatically.

ÉTAPE 4 : Monitor performance

View the automated assignment rate and adjust rules as needed via the dashboard.

Key AI assignment features

The agent analyzes error messages, file names, stack traces, and environments to ensure accurate routing.

  • Connecteur cible : L'agent exécute les bonnes actions dans airbrake selon le contexte de l'événement.
  • Actions automatisées : Automatic ticket assignment, direct developer notifications, priority categorization, Airbrake status updates.
  • Gouvernance native : All assignment actions are logged for full traceability.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-airbrake@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Benefits for your DevOps team

1. Drastic reduction in MTTR

Errors get to the right person immediately.

2. Focus on development

Free your leads from manual triaging tasks.

3. Intelligent routing

The AI learns over time to better assign complex errors.

4. 24/7 processing

Ensure continuous error management, even outside business hours.

5. Full transparency

Clear history of who handled what and when.

Security and compliance

Swiftask applique des standards de sécurité enterprise pour vos automatisations airbrake.

  • Data encryption: Your Airbrake logs and data are processed with the highest security standards.
  • Access control: You maintain total control over who has access to agent configuration.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable impact

MétriqueAvantAprès
Manual triage time30+ min/day0 min/day
Incident responsivenessSlow (depends on manager)Immediate (AI)

Passez à l'action avec airbrake

Reduce Mean Time To Resolution (MTTR) and eliminate bottlenecks in manual ticket triaging.

Analysez vos tendances d'erreurs Airbrake automatiquement avec l'IA

Cas d'usage suivant.