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ArticleAI in the Software Development Lifecycle: Key Learnings and the Paradox of Trust
Over the past two years, artificial intelligence has undergone a fundamental transition within modern software engineering. We have officially moved past the initial era of inline autocomplete and entered the paradigm of agentic...
ArticleThe Engineering Leadership Report 2026 Highlights
Prioritization of internal AI surges 77%, 63% of leaders rely only on informal feedback about productivity, and 1 in 3 managers is considering stepping down from leadership to become a developer again.
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ArticleThe AI Engineering World’s Fair 2026 Highlights
Between June 29 and July 2, 2026, San Francisco hosted one of the most prominent events on the use of AI in software engineering.
ArticleThe AI Engineering Report 2026: The Acceleration Whiplash
A study conducted over 2 years, with 22,000 software engineers and more than 4,000 development teams, collecting telemetry data. Based on facts and data.
ArticleDopamine Spikes and the Illusion of Productivity: The AI Addiction
Internal documents reveal that Microsoft wants to “make people addicted” to its new AI assistant.
ArticleThe Engineering Productivity Paradox
Individual devs are flying. Deliveries are stagnant. The bottleneck has shifted, and most companies haven’t noticed yet.
ArticleThe Engineering Productivity Theater (tickets on sale)
Let's explore the difference between feeling busy and shipping value.
ArticleBeyond Cost Savings: Addressing the Top 5 Strategic Challenges in Digital Outsourcing
The imperative for digital transformation (DX) has never been clearer. Companies across every sector are racing to adopt cloud, AI, automation, and advanced data analytics to stay competitive. In this fast-paced environment, Digital Services Outsourcing (DSO) has become a non-neg
ArticleHow to Validate & Test AI-Infused Applications at Scale
What makes testing generative AI-driven software so different, and how the right mix of simulation, automation and AI-powered validation lets teams test MCP servers and nondeterministic responses at scale.
ArticleThe Economic Impact of Software Quality and Automation
Software as a business backbone: why software quality is no longer optional, how a Quality Chapter and automation cut rework and speed up delivery, and how to measure the return on that investment.
ArticleIA para Testes de Software: Potencial e Cuidados
Como muitos de vocês, tenho utilizado cada vez mais as ferramentas de IA no meu dia a dia para validar software. Passamos a utilizar ferramentas como Cursor, Copilot, Gemini, ChatGPT e muitas outras que se consolidaram primeiramente na parte de desenvolvimento e, mais recentement
ArticleAccelerating Service Virtualization Adoption With Agentic AI
Are you facing challenges creating virtual services that truly simulate system behavior accurately? Meet Parasoft Virtualize’s industry-first Agentic AI Assistant. Discover how your team can create accurate virtual services using natural language. Creating virtual services that a
ArticleEvolving Quality: The Test Automation Levels
In today’s digital economy, quality is strategic. Fast delivery cycles, complex software architectures, and high user expectations have pushed testing from a supporting role to a central pillar of modern software development. However, while the need for test automation is widely
ArticleEngineering Productivity: The Power of DORA Metrics
In today’s fast-paced technology landscape, measuring software delivery performance is crucial to achieve high stakes. Companies leveraging precise performance metrics gain the capability to optimize their processes, enhance agility, and drive innovation. This is where DORA Metri