Automated bug reporting: connect your tests to PractiTest
Swiftask automates the entry of your anomalies into PractiTest. Your AI agents analyze logs, qualify the bug, and open the ticket instantly.
Result:
Eliminate manual entry and speed up your fix cycle. Your QA teams focus on strategy, not administration.
AI Agents
practitest
Connector practitest · Secure OAuth 2.0
Manual bug entry slows down your delivery cycles
The traditional bug reporting process is a bottleneck. Between taking screenshots, describing reproduction steps, and entering data into PractiTest, your testers waste precious time. This latency delays developers and weakens software quality.
Main negative impacts:
Time lost in admin
Testers spend hours documenting issues instead of testing new features.
Inconsistent reporting
Manual documentation often lacks crucial details, making reproduction difficult for developers.
Critical transfer delays
The time gap between bug discovery and creation in PractiTest unnecessarily slows your delivery pipeline.
Swiftask turns your test results into structured reports. The AI agent extracts key data, enriches it, and syncs it automatically with PractiTest.
BEFORE / AFTER
What changes with Swiftask
Manual bug cycle
The tester detects an error, takes notes, switches to PractiTest, creates a ticket, copies logs, and hopes the info is enough. The developer often has to contact the tester for more context.
Bug cycle with Swiftask
The AI agent detects the test failure, analyzes logs, generates a full report, and creates the ticket in PractiTest. The developer receives a ready-to-use ticket with all necessary evidence.
Automated reporting in 4 key steps
1
STEP 1 : Data source integration
Connect your test tools or logs to Swiftask to feed the agent in real time.
2
STEP 2 : PractiTest configuration
Link your PractiTest instance to Swiftask to enable automatic ticket creation.
3
STEP 3 : Qualification rule definition
Set the criteria that trigger bug creation (e.g., critical failure, 500 error, etc.).
4
STEP 4 : Launch and automation
The AI agent now monitors your tests and sends every qualified anomaly directly to PractiTest.
AI automation capabilities
The AI agent analyzes error logs, identifies patterns, and segments bugs by priority and type.
- Target connector: The agent performs the right actions in practitest based on event context.
- Automated actions: Automatic ticket creation in PractiTest, report enrichment with logs/screenshots/steps, automatic assignment to the right teams.
- Native governance: Every created ticket includes a traceability link back to the anomaly source in Swiftask.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-practitest@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.
Performance gains for your QA
Faster QA cycle
Drastically reduce the time between detection and ticket opening.
Better report quality
Standardize ticket quality with constant, objective AI analysis.
Reduced back-and-forth
Tickets are complete from the start, eliminating unnecessary loops between QA and dev.
No-code automation
Configure your reporting workflows without writing a single line of code.
Full traceability
Maintain a unified view of all bugs reported by your agents.
Compliance and data security
Swiftask applies enterprise-grade security standards for your practitest automations.
- Secure authentication: Secure API connection between Swiftask and PractiTest.
- Isolated data: Your logs and tickets remain in your secure environment.
- Full audit trail: Detailed history of every ticket created by the AI.
- Access control: Fine-grained management of automation permissions in Swiftask.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Optimize your QA KPIs
| Metric | Before | After |
|---|---|---|
| Ticket creation time | 10-15 min | Instant |
| Report quality | Variable | Standardized & detailed |
| Resolution delay | High (waiting for info) | Reduced (everything included) |
| Admin burden | High | Zero |
Take action with practitest
Eliminate manual entry and speed up your fix cycle. Your QA teams focus on strategy, not administration.