The DevOps layer for scientific and engineering teams building complex simulation workflows
Driving correctness, security, modernization, portability, and optimization
in high-performance simulation software.
-
Deep Static
Analysis -
Code
Formatting -
Code
Coverage -
Autofix
-
Reports
-
Self-
hosting -
CI/CD
automation -
Technical
Debt -
ROI
Deep Static Analysis ⟶
Automatically analyze your code line by line to identify and fix opportunities for correctness, security, modernization, portability and optimization.
Code Formatting ⟶
Enforce a uniform source code format to write cleaner, more consistent, and maintainable code effortlessly.
Code Coverage
Obtain code coverage metrics and discover lines that are not being analyzed.
AutoFix
Automatically generate fixes for opportunities, always under the control of the programmer and preserving 100% code correctness.
Reports
Get a deeper understanding of your code’s health with analysis reports.
Self-hosting
Execution on the local system, retraining full control of your code and privacy.
CI/CD automation
Integrate with CI/CD systems, automatically testing every code change and pull request.
Technical Debt
Quantify the extent of code refactoring required to improve correctness, security, modernization, and optimization your code.
ROI
Quantify development savings with ROI tailored to your organization.
Build Correct, Secure, Mainteinable and Fast Code in Fortran/C/C++
Codee simplifies and accelerates code review and testing, making it easier for teams to create high-quality, efficient programs that meet industry standards.
Codee identifies improvement opportunities and provides clear reports to guide both developers and managers in applying the right enhancements.
It accelerates software delivery, simplifies onboarding, and improves engineering consistency, helping teams maintain complex projects while systematically ensuring correctness, security, modernization, portability, and optimization.
Early detection of subtle correctness issues such as undefined behavior and uninitialized or improperly initialized variables, complementing compilers and testing in modern DevOps workflows.
Static application security testing (SAST) to identify security vulnerabilities and support compliance with modern secure coding standards and cybersecurity regulations.
Systematic modernization of legacy Fortran code to align with modern language standards, improve structure, and ensure long-term compatibility and maintainability.
Automated enforcement of project-specific coding guidelines through standards-based analysis and configurable formatting.
Standards-driven analysis to reduce compiler-specific extensions and undefined behavior, improving cross-platform portability.
Analysis-driven identification of performance optimization opportunities across algorithms, parallelization, memory usage, and hardware-aware design.
OUR CLIENTS
It flagged a bunch of suggestions—some I’d already spotted myself, but the real win is how fast it detects issues and labels them. The categorization of 'defects' is a game-changer; if I’m stumped on a fix, I can use those labels to search online or ask an expert. It’s like a built-in roadmap for problem-solving."