Jtest
Available through ESL, a Parasoft partner
Agentic AI-Driven Static Analysis for High-Velocity Java Teams
Powered by more than 2,600 quality and security rules, Jtest helps teams detect defects earlier, reduce manual review effort, and maintain high code quality as development velocity increases. Go beyond traditional linting with deep static analysis, advanced flow analysis, compliance-ready rule sets, and AI-native remediation workflows built for enterprise-scale development.
Enterprise Java quality automation
- Deep static analysis
Pattern, metric, and flow-based analysis - Agentic remediation
Generate, apply, and validate fixes - Secure compliance
Audit-ready standards and reporting - Continuous feedback
IntelliJ, Eclipse, VS Code, and CI/CD
Agentic Java Static Analysis at Enterprise Scale
Detect, prioritize, and remediate Java quality and security risks from the IDE through CI/CD.
Three Layers of Analysis
Combine pattern-based, metric-based, and flow-based analysis for a complete view of Java risk.
- Pattern-Based: coding flaws, API misuse, exception handling
- Metric-Based: complexity, maintainability, duplication, architectural risk
- Flow-Based: execution paths, data flow, null pointers, resource leaks, deadlocks, division by zero, array boundary issues
MCP Server for Agentic Workflows
Integrate Jtest static analysis directly into external LLM clients and agentic development workflows through the Jtest MCP server. Analyze and fix code within CI/CD quality gates so Java code is secure and compliant from the start.
- External LLM client integration
- Agentic development workflows
- CI/CD quality gate enforcement
Autonomous Remediation
MCP-enabled workflows run static analysis scans, generate, apply, and validate fixes, then route results back to developers for approval. Humans stay in the loop for governance.
- Automated scan and fix cycles
- Fix validation before review
- Human approval and governance
Secure Coding Standards and Compliance
Continuously enforce secure coding policies with built-in, compliance-ready rule sets and audit-ready reporting.
- OWASP, CWE, and CERT
- PCI DSS and DISA ASD STIG
- HIPAA and UL 2900
Agentic Unit Testing
Pair static analysis with AI-driven unit test generation and autonomous test workflows to accelerate defect prevention across the SDLC.
- AI-driven unit test generation
- Autonomous test workflows
- Earlier defect prevention
Continuous Analysis Across IDEs and CI/CD
Deliver immediate feedback with live static analysis in IntelliJ, Eclipse, and VS Code, plus automated enforcement in CI/CD pipelines.
- IntelliJ, Eclipse, and VS Code
- Automated pipeline enforcement
- Immediate developer feedback
Intelligent Prioritization
Surface the highest-risk violations first using historical analysis and contextual quality insights.
- Centralized analytics
- Accelerated triage
- Customizable rulesets
Integrations
Connect Jtest with the development, testing, CI, and AI tools your teams already use.
- Apache Ant, Azure DevOps, Gradle
- IntelliJ, Jenkins, JUnit, Maven
- OpenAI
Part of the Parasoft Platform
Explore Jtest static analysis and security testing, or connect with companion Parasoft tools through ESL.
Why Jtest
Scale secure Java development without slowing delivery.
Earlier Defect Detection
Find quality and security issues before they reach later testing stages.
Governed AI Automation
Accelerate remediation while keeping developers in control of every approved change.
Compliance Ready
Apply recognized coding standards continuously and produce audit-ready reports.
Enterprise Visibility
Prioritize risk with centralized analytics and contextual insights.