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. share share share share
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Innovate QA Awards 2026 Honor Leaders Advancing the Future of Quality Engineering
July 22, 2026
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The inaugural awards recognized excellence in automation, testing tools, emerging talent, innovative QA practices, thought leadership, community impact, organizational quality, and artificial intelligence across the software development lifecycle.
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Software Quality and Project Profitability: A Critical Link
September 21, 2026
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In project management, financial success often comes down to meeting budgets and earning revenue. However, a project’s true profitability is deeply influenced by a less visible factor: the quality of the software at its core. Every bug, performance issue, or poorly written line of code carries a financial weight that can quietly erode margins and derail even the most carefully planned initiatives.
