Supercharge your engineering KPIs with AI and CodeScene
Swiftask analyzes CodeScene data to identify bottlenecks and optimize your development team's performance.
Result:
Turn complex analyses into actionable plans to improve your velocity and code quality.
AI Agents
codescene
Connector codescene · Secure OAuth 2.0
Your CodeScene data remains untapped
CodeScene provides valuable insights into your codebase health, but turning these reports into concrete KPI improvements is difficult. Teams waste time interpreting data instead of acting on it.
Main negative impacts:
Time-consuming analysis
Technical managers spend hours browsing CodeScene reports without knowing where to start.
Decision lag
Optimization decisions arrive too late, slowing feature delivery and degrading quality.
Underutilized insights
The richness of CodeScene data is often lost due to a lack of ability to translate it into daily actions.
Swiftask automates the analysis of your CodeScene reports. Our AI prioritizes actions, alerts your teams to critical areas, and tracks your KPI progress in real time.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
The Lead Dev manually checks CodeScene reports every week. They identify technical debt issues but struggle to communicate them. Corrective actions are sporadic and untracked.
With Swiftask + CodeScene
Swiftask continuously monitors CodeScene. As soon as a codebase area threatens your KPIs, the AI agent generates a ticket, notifies the relevant developers, and tracks resolution until the KPI improves.
Optimize your KPIs in 4 simple steps
1
STEP 1 : Connect your tools
Link Swiftask to your CodeScene instance securely to enable automated analysis.
2
STEP 2 : Define your objectives
Configure the priority KPIs (technical debt, cycle time, hotspots) you want to optimize.
3
STEP 3 : Automate alerts
Let Swiftask identify gaps and send recommendations directly to developers.
4
STEP 4 : Measure ROI
Track the improvement of your development metrics via the Swiftask dashboard.
AI optimization capabilities
Swiftask cross-references CodeScene hotspot data with your Jira tickets and deployment history for deep contextual analysis.
- Target connector: The agent performs the right actions in codescene based on event context.
- Automated actions: Automatic alerts on new critical hotspots. Generation of refactoring recommendations. Tracking of technical debt reduction. Weekly reports on key KPIs.
- Native governance: Swiftask doesn't just read data; it turns it into concrete tasks for your team.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-codescene@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.
Benefits for your technical team
Continuous improvement
Your software health KPIs consistently improve thanks to AI recommendations.
Debt reduction
Identify and address problematic code areas before they impact your velocity.
Management time savings
Less time spent on reporting, more time on strategic management.
Team alignment
Everyone understands technical priorities thanks to contextualized alerts.
Data-driven decision making
Base your refactoring choices on real data, not intuition.
Security and privacy
Swiftask applies enterprise-grade security standards for your codescene automations.
- Limited access: Swiftask uses read-only access via secure API.
- Protected data: Your code analyses remain private and are never used to train public models.
- Compliance: Solution adapted to B2B enterprise security requirements.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measure your progress
| Metric | Before | After |
|---|---|---|
| Hotspot detection time | Several days | Real-time |
| Technical debt reduction | Stagnant | Consistently decreasing |
| Team velocity | Irregular | Predictable and optimized |
Take action with codescene
Turn complex analyses into actionable plans to improve your velocity and code quality.