Discussions

When working with complex integrations like Genny API, the reliability of the system depends heavily on how we handle the testing phases. In 2026, simply running a few automated scripts isn't enough to guarantee production stability.

I’ve noticed that many teams skip the foundational parts of the stlc life cycle, moving too quickly to execution without proper Requirement Analysis or Environment Setup. This almost always leads to a higher MTTR (Mean Time to Repair) when things inevitably break.

To maintain a high quality-gate, we’ve started using this software testing life cycle guide as our primary framework. It helps in:

• Defining clear entry/exit criteria for each testing phase.
• Aligning QA with CI/CD to ensure API contracts aren't broken during rapid deployments.
• Structuring test design specifically for high-load AI platforms.

How is everyone else managing their testing cycles for external API dependencies? Do you follow a formal STLC, or are you moving towards a more fluid, 'test-in-prod' approach?

Looking forward to your insights!