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 ...

Generative AI will soon take a back seat to agentic AI, as organizations demand more optimized work processes.

Government contracting is not a writing problem. It is a workflow problem. Winning is rarely decided by who can draft the fastest paragraph. It is decided by who can run the pursuit loop better: ...

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

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

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 ...

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 ...