Won't replace traditional CI/CD – and still in early development – so use 'at your own risk' Agentic workflows - where an AI agent runs automatically in GitHub Actions - are now in technical preview, ...

Agentic AI workflows demand proof that endures when novelty fades and scrutiny increases. Leaders are not asking whether an ...

Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...

Agents that learn from their own outputs or live environments can drift from expected behavior. Reinforcement loops form, subtle hallucinations become the next generation of training data and ...

Discover Agentic Engineering, the new paradigm coined by Andrej Karpathy that supersedes vibe coding. Explore how AI agents are taking over software development and how testing infrastructure is ...

Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...

Artificial intelligence agents can help state and local agencies improve service delivery and extend resources.

In assessing agentic AI in regulated financial environments the discussion has largely concentrated on what these systems can do but as Lina Fabri explains the real question is what happens when the a ...

Bottom Line: In 2026, successful agentic AI platforms are defined by accountability, architectural rigor, embedded expertise, and organizational readiness--not just automation promises. Authentica ...

Automation has already had an impact on security operations, through domains such as security orchestration, automation and response. Generative AI co-pilots and assistants have appeared as part of ...