Best Code Quality Tools in Australia

Ship quality code, faster. Aikido built AI-native code quality, with instant feedback, smart detection, and clear auto-generated PR comments, so you can focus on building.

Kiuwan is an end-to-end application security platform that integrates seamlessly into your development process. Our toolset includes Static Application Security Testing (SAST), Software Composition Analysis (SCA), Software Governance and Code Quality, empowering your team to quickly identify and remediate vulnerabilities. Integrating into your CI/CD pipeline, Kiuwan enables early detection and remediation of security issues. Kiuwan supports strict compliance with industry standards including OWASP, CWE, MISRA, NIST, PCI DSS, and CERT, among others. ✅ Large language support: 30+ programming languages. ✅ Detailed action plans: Prioritize remediation with tailored action plans. ✅ Code Security: Seamless Static Application Security Testing (SAST) integration. ✅ Insights: On-demand or continuous scanning Software Composition Analysis (SCA) to help reduce third-party threats. ✅ One-click Software Bill of Materials (SBOM) generation Code Smarter. Secure Faster. Ship Sooner.

Ship high quality code. Review code, discuss changes, share knowledge, and identify defects across SVN, Git, Mercurial, CVS, and Perforce. Create formal, workflow-based, or quick code reviews and assign reviewers from across your team. Turn any code review into a threaded discussion and comment on specific source lines, files, or an entire changeset. Take action on what's important with unified views into your code activity for commits, reviews, and comments. Improve code quality with data on which parts of your codebase have not been sufficiently reviewed. Get a quick view of review status and who might be holding up reviews. Access a complete audit trail with all code review details, down to the history of a specific review. Customize your Jira Software workflow to stop if there are any open reviews. Upgrade your workflow with Jira Software, Bitbucket Server, Bamboo and hundreds of other developer tools.

This module provides code coverage metrics for Perl. Code coverage metrics describe how thoroughly tests exercise code. By using Devel::Cover you can discover areas of code not exercised by your tests and determine which tests to create to increase coverage. Code coverage can be considered an indirect measure of quality. Devel::Cover is now quite stable and provides many of the features to be expected in a useful coverage tool. Statement, branch, condition, subroutine, and pod coverage information is reported. Statement and subroutine coverage data should be accurate. Branch and condition coverage data should be mostly accurate too, although not always what one might initially expect. Pod coverage comes from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.

Coverage provides coverage data collection, manipulation, and formatting for Dart. Collect_coverage collects coverage JSON from the Dart VM Service. format_coverage formats JSON coverage data into either LCOV or pretty-printed format.

JaCoCo is a free code coverage library for Java, which has been created by the EclEmma team based on the lessons learned from using and integrating existing libraries for many years. The master branch of JaCoCo is automatically built and published. Due to the test-driven development approach, every build is considered fully functional. See the change history for the latest features and bug fixes. SonarQube code quality metrics of the current JaCoCo implementation are available on SonarCloud.io. Integrate JaCoCo technology with your tools. Use JaCoCo tools out of the box. Improve the implementation and add new features. There are several open-source coverage technologies for Java available. While implementing the Eclipse plug-in EclEmma the observation was that none of them are really designed for integration. Most of them are specifically fit to a particular tool (Ant tasks, command line, IDE plug-in) and do not offer a documented API that allows embedding in different contexts.

Bugbot is an AI-powered code review agent that automatically reviews pull requests to identify bugs, security issues, and code quality problems. Built into the Cursor ecosystem, Bugbot analyzes PR diffs and leaves contextual comments with clear explanations and fix suggestions. It runs automatically on every pull request update or can be triggered manually using comments. Bugbot reads existing PR discussions to avoid duplicate feedback and build on prior context. The tool supports customizable rules through configuration files and team-wide policies to enforce coding standards. Bugbot integrates seamlessly with GitHub, GitLab, and enterprise repositories. It helps development teams catch issues early and improve code quality without slowing down workflows.