Master your GitLab sprint planning with AI
Swiftask analyzes your GitLab issues to help you prioritize, estimate, and structure your sprints. Turn your backlog into actionable plans in record time.
Result:
Reduce sprint preparation time by 70% and align your developers with strategic priorities.
AI Agents
gitlab
Connector gitlab · Secure OAuth 2.0
Sprint planning has become a bottleneck
Manually sorting issues, evaluating priorities, and assigning tasks in GitLab consumes precious time at the start of every cycle. Without a clear vision, teams lose focus and velocity stagnates.
Main negative impacts:
Unstructured backlog
A growing list of issues without clear priorities makes planning chaotic and prone to human error.
Inaccurate estimation
Without assistance, workload estimation remains subjective, leading to overloaded or underutilized sprints.
Time wasted in meetings
Planning meetings drag on with ticket sorting instead of technical problem-solving.
Swiftask connects your GitLab instance to a dedicated AI agent. It analyzes your backlog, suggests priorities based on your goals, and proposes an optimized sprint structure.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
The Product Owner spends hours scrolling through GitLab issues, manually tagging them, and estimating complexity. The dev team spends half the planning meeting discovering the tickets.
With Swiftask + GitLab
The AI agent pre-analyzes the GitLab backlog. It proposes a balanced sprint, identifies critical dependencies, and pre-fills estimates. The meeting becomes a simple validation exercise.
How to automate your planning with Swiftask
1
STEP 1 : Connect your GitLab project
Link your GitLab instance to Swiftask to allow the agent to read your issues and milestones.
2
STEP 2 : Define your priority criteria
Teach the agent your business rules: client priority, technical criticality, or quarterly goals.
3
STEP 3 : Generate the sprint proposal
The AI analyzes the backlog and generates a sprint recommendation based on historical velocity.
4
STEP 4 : Validate and synchronize
Validate the suggestions and automatically sync changes back to GitLab.
Advanced planning assistance features
Issue complexity analysis, identification of inter-ticket dependencies, and developer velocity tracking.
- Target connector: The agent performs the right actions in gitlab based on event context.
- Automated actions: Automatic GitLab label prioritization, estimation suggestion, bottleneck risk detection, and planning report generation.
- Native governance: Swiftask respects your existing GitLab workflows and only modifies data after your explicit validation.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-gitlab@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 choose Swiftask for GitLab
Increased velocity
Less time spent managing tickets, more time coding.
Strategic alignment
Every sprint reflects business priorities through intelligent AI analysis.
Improved predictability
Estimations based on real historical data, not intuition.
Security and compliance
Swiftask applies enterprise-grade security standards for your gitlab automations.
- Read-only by default: The agent analyzes your GitLab data securely.
- Full control: You have the final say on every action proposed by the AI.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Observed results
| Metric | Before | After |
|---|---|---|
| Preparation time | 4 hours | 30 minutes |
| Estimation accuracy | 60% | 85% |
Take action with gitlab
Reduce sprint preparation time by 70% and align your developers with strategic priorities.