Digma has unveiled Preemptive Observability Analysis, an observability engine designed to reduce bugs introduced by AI code generation and other coding issues.
The commercial version, introduced February 5, follows a limited-capability free version. Digma said its engine provides engineering teams with code-level insight into the root cause of software development problems while adding AI-driven suggestions to resolve performance issues, architectural flaws, and problematic runtime behaviors. Preemptive Observability Analysis (POA) engine is active during the pre-production testing stage of the software development lifecycle.
In addition to tackling AI-generated bugs, Preemptive Observability Analysis engine also addresses bugs in human-generated code that cause performance issues and SLA (service level agreement) degradations, Digma said. The tool will be particularly transformative for organizations in highly transactional environments such as fintech, e-commerce, and retail, said the company.