Error Handling
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation.
A user experience design methodology focused on rapid iteration, collaboration, and learning through experimentation.
An environment closer to production where final testing and validation occur.
Perceivable, Operable, Understandable, and Robust (POUR) are the four main principles of web accessibility.
Culture, Automation, Lean, Measurement, and Sharing (CALMS) is a framework for guiding the implementation of DevOps practices.
A meeting held at the end of a project or development cycle, also known as a "post-mortem," to review what went well, what didn't, and how processes can be improved in the future.
A design language developed by Google that uses shadow, depth, and motion to create a realistic and intuitive user interface.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
Newly developing patterns or shifts in technology, behavior, or design that have the potential to influence future practices and strategies.