
The familiar rhythm of software development, punctuated by human-led code reviews and security gates, is being fundamentally rewritten by non-human collaborators operating at machine speed. As artificial intelligence evolves from a developer’s assistant into an autonomous developer, the foundational assumptions

The familiar rhythm of software development, punctuated by human-led code reviews and security gates, is being fundamentally rewritten by non-human collaborators operating at machine speed. As artificial intelligence evolves from a developer’s assistant into an autonomous developer, the foundational assumptions

The familiar rhythm of software development, punctuated by human-led code reviews and security gates, is being fundamentally rewritten by non-human collaborators operating at machine speed. As artificial intelligence evolves from a developer’s assistant into an autonomous developer, the foundational assumptions
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The promise of artificial intelligence transforming software development has shifted from abstract potential to a tangible reality, with agentic AI platforms now aiming to automate and streamline the entire DevOps lifecycle. GitLab’s entry into this arena, the Duo Agent Platform,

The digital infrastructure powering global economies is being built on a foundation of code that developers neither wrote nor fully understand, creating an unprecedented and largely invisible attack surface. This is the central paradox of modern software development: the relentless
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The promise of artificial intelligence transforming software development has shifted from abstract potential to a tangible reality, with agentic AI platforms now aiming to automate and streamline the entire DevOps lifecycle. GitLab’s entry into this arena, the Duo Agent Platform,

The modern software development lifecycle is undergoing a seismic, almost silent transformation, as artificial intelligence transitions from a novelty coding assistant into an indispensable yet unpredictable collaborator. This evolution promises to redefine productivity and accelerate innovation, yet it simultaneously introduces

Declarations that the DevOps movement has finally reached its end have become a predictable, almost cyclical feature of the technology landscape, sparking intense debate with each new pronouncement. This ongoing conversation, recently reignited by industry thought leaders questioning the movement’s

The initial wave of artificial intelligence in software development promised a revolution but delivered a modest evolution, narrowly focusing on code generation while leaving the vast majority of the complex development lifecycle untouched. This has created a “software delivery AI

The Jenkins job an engineer inherited back in 2019 possessed an astonishing forty-seven distinct stages, each represented by a box in a pipeline visualization that scrolled on for what felt like an eternity. Each stage was a brittle Groovy script,

The digital infrastructure powering global economies is being built on a foundation of code that developers neither wrote nor fully understand, creating an unprecedented and largely invisible attack surface. This is the central paradox of modern software development: the relentless
Browse Different Divisions
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