Arcan offers an AI‑driven SaaS platform that automatically scans source code to detect architectural anti‑patterns, quantify technical debt, and predict the impact of code changes. The solution integrates with CI/CD pipelines and ALM tools to deliver real‑time risk scores, remediation estimates, and configurable alerts through a web dashboard, enabling engineering, DevOps, and QA teams to prioritize testing and maintain release reliability.
Funding
Funding not disclosed
Founders
Product
Problem
Software development teams often release code without clear insight into hidden architectural flaws and the downstream impact of code changes, leading to increased technical debt, unpredictable bugs, and delayed delivery cycles.
Solution
Arcan delivers an AI‑driven SaaS platform that automatically scans source code to identify architectural smells and quantify technical debt. The system predicts the effect of proposed changes, estimates remediation costs, and assigns risk scores, enabling teams to set quality thresholds and prioritize testing. Seamless integration with CI/CD pipelines and ALM tools provides real‑time feedback within developers’ existing workflows. A web‑based dashboard presents actionable metrics, trend analysis, and alerting, helping DevOps, QA, and product owners accelerate releases while maintaining software quality and reliability.
Target Audience
Primary users are software engineering, DevOps, and QA teams in medium to large enterprises that manage complex, evolving codebases and need data‑driven risk management for releases.
Features
- Machine‑learning engine that performs static code analysis across multiple languages to detect architectural anti‑patterns and calculate debt metrics.
- Impact analysis module that simulates code modifications, predicts regression risk, and estimates remediation effort.
- Native connectors for popular CI/CD platforms (Jenkins, GitHub Actions, Azure DevOps, GitLab) to run analyses on each commit or pull request.
- RESTful API and webhooks for integration with ALM tools (Jira, Azure Boards, ServiceNow) to feed risk scores and debt data into existing pipelines.
- Interactive dashboard with configurable quality gates, risk heat‑maps, and trend visualizations for continuous monitoring.
- Role‑based access control and end‑to‑end encryption to ensure secure handling of proprietary codebases.
- Customizable alerting (email, Slack, Teams) for threshold breaches and debt accumulation spikes.
- Support for incremental analysis to reduce compute overhead on large repositories.