Your AI Doesn’t Know What Is “Correct”

September 14, 2026 0

AI-assisted code generation has changed the capabilities of organizations to produce code. In this article, Hélder Ferreira discusses the impact on software quality created by this new situation. The main problem is that this new code is often created by tools that lack the knowledge of the global context of both the application infrastructure and the process being automated.

What Happens to QA When AI Writes 100% of the Code?

August 27, 2026 0

Today, you can find tools that generate code and AI-assisted test automation tools that will handle the quality assurance part. Is it the death of traditional manual testing? In this article, Rimpal Mistry reminds us that human validation is still needed to provide the final check of delivered software.

Certainty Isn’t Correctness: The Real Cost of Trusting AI-Written Code

August 10, 2026 0

AI-written code can sail straight through your CI pipeline — lint clean, tests green, coverage above threshold — and still ship a bug nobody thought to test for. This article breaks down why AI code passes Continuous Integration (CI) checks built for a different generation of bugs, and lays out a short list of concrete, budget-free gates that catch what your CI pipeline can’t see today.

Industrial Strength Software Testing for Complex Systems

June 9, 2026 1

Complexity is a property of software systems with lots of components that interact in lots of ways. Bugs thrive in complexity. Inert bugs in one component may be activated by seemingly unrelated changes in another. Latent bugs may take years to be observed or detected by software testing.

The Hidden Knowledge Debt Behind QA Outsourcing

June 1, 2026 2

When it outsources software QA, management looks only to cut costs. What it doesn’t understand is the loss of product knowledge that comes with it. In this article, Ann-Sofie Ollikainen explains why test coverage metrics alone cannot replace long-term product understanding.

1 2 3 11