Tarification

Automatically generate DevRev bug reports with AI

Swiftask connects your data sources to DevRev. The AI qualifies, structures, and creates your bug tickets without human intervention.

Resultat:

Speed up your fix cycle. Stop wasting time on manual ticket qualification.

Manual bug qualification slows down your team

Engineers spend valuable time sorting through poorly documented, incomplete, or duplicate bug reports. This cognitive load prevents the team from focusing on what matters: the code.

Les principaux impacts négatifs :

Inaccurate and incomplete tickets: Manual reports often lack logs or context, forcing developers to ask for clarification constantly.
Triage overload: Time spent manually classifying and prioritizing bugs is time lost on building new features.
Increased resolution time: The accumulation of unstructured bug reports creates a bottleneck in the production cycle.

Swiftask acts as an intelligent assistant that intercepts feedback, analyzes it, extracts essential technical data, and creates a perfectly formatted DevRev ticket.

AVANT / APRÈS

Ce qui change avec Swiftask

The manual workflow

A user reports a bug. Customer support copies the email, tries to describe the issue in DevRev, and forgets technical details. The developer must then reach out to the user for logs.

Automated workflow with Swiftask

As soon as a report arrives, the Swiftask AI agent extracts logs, categorizes the bug, identifies impacted versions, and creates an enriched DevRev ticket. The developer receives a ready-to-process ticket.

Activate your DevRev automation in 4 phases

ÉTAPE 1 : Centralize your sources

Connect your emails, monitoring tools, or forms to Swiftask as input sources.

ÉTAPE 2 : Define qualification rules

Configure your AI agent parameters to extract key information (logs, environment, severity).

ÉTAPE 3 : Link the DevRev connector

Authenticate Swiftask with your DevRev instance to enable automatic ticket creation.

ÉTAPE 4 : Deployment and monitoring

The agent now handles every incident in real-time. Track activity from the dashboard.

Advanced features for your tickets

The AI automatically analyzes stack traces, system logs, product versions, and priority based on detected keywords.

Connecteur cible : L'agent exécute les bonnes actions dans devrev selon le contexte de l'événement.
Actions automatisées : Automatic ticket creation, updating existing tickets, adding contextual comments, automatic assignment based on business rules.
Gouvernance native : Every ticket created via Swiftask includes a link to the original report to ensure full traceability.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-devrev@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.

Operational efficiency gains

1. Standardized reporting

All tickets follow the same format, facilitating developer work.

2. Reduced MTTR

Fewer back-and-forths mean faster resolution of critical issues.

3. Intelligent prioritization

AI identifies urgent bugs and promotes them automatically into the DevRev backlog.

4. Enriched context capture

Swiftask aggregates data from multiple sources before creating the ticket.

5. Effortless scalability

Handle growing volumes of user feedback without increasing administrative load.

Security and compliance

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

Data encryption: All data processed between your sources and DevRev is encrypted.
Access management: You maintain total control over the agent's permissions within your DevRev instance.
GDPR compliance: Swiftask adheres to the strictest data protection standards.
Continuous audit: Every agent action is logged for a complete audit trail.

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

RÉSULTATS

Impact on your performance indicators

Métrique	Avant	Après
Ticket creation time	10-15 minutes	A few seconds
Reporting accuracy	Variable (subjective)	Standardized (100% consistent)
Triage delay	Several hours	Instantaneous
Engineering productivity	Time lost on sorting	Focus on development

Passez à l'action avec devrev

Speed up your fix cycle. Stop wasting time on manual ticket qualification.

Générez des réponses contextuelles dans DevRev grâce à l'IA

Cas d'usage suivant.