Co-author Jon Kern says AI coding tools amplify strengths and expose weaknesses Interview Twenty-five years after 17 software ...
Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.
By integrating NVIDIA’s Physical AI into DELMIA’s Virtual Twin technology, Dassault Systèmes is moving the industry from static automation to autonomous software-defined systems that “learn” the laws ...
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From agile to AI: Anniversary workshop says test-driven development ideal for AI coding
Security is 'dangerously behind' though, as devs' treat it as something to solve later 25 years after the Agile Manifesto, a group of experts hosted by one its signatories met to consider the impact ...
Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...
AI models are pushing against three frontiers at once: raw intelligence, response time, and a third quality you might call ...
A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...
By streamlining durability processes, Renault has created a more agile and aligned engineering function. The implementation of nCode GlyphWorks supports the company’s ambitious R&D goals, enabling ...
Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
Near-peer adversaries now field a sophisticated arsenal of aerial threats capable of executing complex, multidomain attacks designed to overwhelm ...
Opinion: India’s factories need speed, agility, and value. Cloud MES, AI, and DataOps shift economics, simplify adoption and scale quality and visibility across plants today.
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