Quality at speed is the real benchmark of modern software teams. A reliable QA process protects that speed without trading away user trust or stability. Even strong teams develop blind spots over time. Regression cycles stretch, automation coverage stalls, and production fixes start creeping into every sprint.
In an era where artificial intelligence (AI) writes code, reviews pull requests, and even generates tests, how does the standard Testing Pyramid still hold up? Has it quietly crumbled under more modern demands?
It appears that one consequence of being a tech lead is that team members consider you the default reviewer for all their pull requests (PR). Though the code review process seems straightforward, there are many aspects that need to be considered.
As software development teams are pressured to deliver products faster, testing must adapt. In this article, Damien Johnson explains that teams must align their software strategy to the new context. A unified test management system should become the centralized hub that brings together the key components of the quality assurance (QA) strategy to minimize operational risks.
There’s a popular belief that companies like Google, Facebook, or Microsoft don’t do QA anymore. Developers write tests, everything is automated, and they ship thousands of times per year without anyone ‘testing’.
Does your development team struggle to keep up with quality assurance while it meets tight deadlines? Many companies face the same challenge. Outsourced software QA solves this problem. External specialists run rapid test cycles, deliver unbiased perspectives, and supply skills that in-house teams rarely possess.
Product usage analytics are an untapped gold mine for software quality assurance teams. This article shows how linking user behavior and connecting to quality strategy through knowledge graphs, applications can improve both technical and business quality.
Copyright © 2009-2026 Software Testing Magazine by Martinig & Associates