Digma has launched its Preemptive Observability Analysis (POA), a new observability engine aimed at reducing software bugs from AI code generation and human development. Following a free version, the commercial release on February 5 enhances engineering teams' ability to diagnose the root causes of software issues with AI-driven suggestions. Active during pre-production testing, the POA engine addresses both AI-produced errors and pitfalls in human-created code, making it especially beneficial for high-transaction environments like fintech and retail.
Digma's Preemptive Observability Analysis engine aims to minimize software bugs from both AI and human code, enhancing performance and reliability during development.
The observability engine not only identifies issues in AI-generated code but also effectively addresses bugs in human-written software, making it vital for transactional industries.
Collection
[
|
...
]