JArchitect
Quantify and manage Java code quality with LINQ-powered static analysis and dependency visualization.
Visual software architecture and quality analysis for sustainable code health.
CodeMR is an advanced static analysis tool specifically engineered for architectural visualization and software quality management. By 2026, it has positioned itself as a mission-critical utility for Lead Architects managing large-scale legacy modernization and microservices transitions. The platform utilizes a graph-based engine to map complex dependencies across Java, Kotlin, Swift, C++, and C# codebases. Unlike standard linters, CodeMR focuses on high-level structural health, calculating multi-dimensional metrics such as coupling, cohesion, and cyclomatic complexity at the package, class, and method levels. Its unique value proposition lies in its 'Multi-layered' visualization, which allows technical leads to identify 'God Classes' and circular dependencies that traditional text-based tools miss. With native integrations for IntelliJ IDEA, Eclipse, and Visual Studio, CodeMR provides a local-first analysis environment where proprietary source code never leaves the developer's workstation, ensuring maximum security. In the 2026 market, it serves as the bridge between raw code metrics and actionable architectural strategy, enabling data-driven refactoring and preventing the accumulation of technical debt in rapidly evolving enterprise environments.
Uses a hierarchical graph rendering engine to visualize software at the project, package, and class levels simultaneously.
Quantify and manage Java code quality with LINQ-powered static analysis and dependency visualization.
Enterprise-grade static code analysis for .NET and C++ powered by the ReSharper engine.
Automate code reviews and security analysis with zero-noise static analysis.
The industry-standard PHP static analyzer for detecting code smells, complexity, and over-engineered architecture.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Algorithmic identification of cycles within the dependency graph that violate clean architecture principles.
Applies color-coded overlays to architectural graphs based on complexity, coupling, and cohesion values.
The analysis engine runs entirely on the local machine within the IDE sandbox.
Captures snapshots of architectural metrics over time to visualize code quality evolution.
Configurable thresholds for metrics that trigger failures in CI/CD pipelines.
Unified analysis interface for Java, Swift, Kotlin, and C++ ecosystems.
Architects struggle to understand the impact of breaking apart a massive legacy codebase.
Registry Updated:2/7/2026
New hires take weeks to understand the internal structure of complex software projects.
Teams keep introducing circular dependencies during rapid sprint cycles.