- Use code reviews to identify and document best practices: Code reviews should be conducted to ensure that all code is well-documented, tested, and optimized for performance.
- Ensure data integrity: Data integrity should be maintained by creating and implementing appropriate constraints, such as unique keys, primary keys, foreign keys, and check constraints.
- Utilize stored procedures: Stored procedures are a great way to ensure that all data manipulation is done in a consistent and optimized manner.
- Utilize database normalization: Database normalization helps to ensure that data is organized and stored in a way that is efficient and easy to maintain.
- Follow established coding standards: Establishing and following coding standards helps to ensure that all code is consistent and easy to read and understand.
- Use a version control system: Version control systems, such as Git or Subversion, help to ensure that all code is versioned and backed up.
- Automate database backups: Automating database backups helps to ensure that data is protected and can be recovered in the event of a disaster.
- Utilize logging and monitoring: Logging and monitoring helps to ensure that data is properly tracked and monitored for performance and security.
OpenAI DevDay – Superpower on Demand: OpenAI’s Game-Changing Event Redefines the Future of AI
Mukesh Lagadhir
November 6, 2023
Introduction In the ever-evolving landscape of technology, OpenAI has emerged
