Data-driven quality evaluation
In line with ISO 25010:2023, we implement a hierarchical quality evaluation methodology. This process relies on software metrics derived from source code properties, such as complexity, coupling, cohesion, and documentation quality, assessed at the function, class, and package levels.
We use AI- and ML-driven techniques to analyze a large, evolving benchmark dataset, identifying patterns in property values and optimizing formulas that assess maintainability, security, and their sub-characteristics.
We use AI- and ML-driven techniques to analyze a large, evolving benchmark dataset, identifying patterns in property values and optimizing formulas that assess maintainability, security, and their sub-characteristics.
Instant insights for better code
Cyclopt Reporter provides you with an updated status of your codebase whenever you commit, along with alerts and tips on significant issues arising related to:
✅Coding Violations
✅Vulnerabilities - Bad Practices
✅Code Duplication
Additionally, Cyclopt Reporter periodically conducts an in-depth quality assessment of your project's Maintainability and Security to ensure it does not drift.
Set up Reporter in your preferred communication channel (Discord, Slack, Mattermost, Teams, Google Chat) and receive actionable recommendations to improve code quality and resolve issues instantly!
Let everybody know you are a star
Cyclopt Profile performs a deep analysis of your developer characteristics.
Build and share your own developer profile page that highlights your unique software development skills.
Show progress, highlight your strengths as a core team member, and use the Cyclopt Profile page as leverage when planning your next job or promotion.




