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Agentic AI is breaking the traditional software development rules

AI Agents are unlike any software development witnessed before. Traditionally, trustworthy software systems have followed a structured approach to being built and developed. One that plans, builds, tests, and maintains software to ensure its reliability and scalability. This created the Software Development LifeCycle (SDLC) (1) framework.

But AI agents are different: they are a team of autonomous, probabilistic actors that work most effectively in a real-time, event-driven environment, enabling the agents to coordinate with real-time data to develop, learn, and work.

Director of AI and industry solutions at Solace.

To scale an enterprise workforce of AI agents, organizations need to combine the principles of employee management with software development rigor. These agents are not static software that can be coded and developed, due to probabilistic language models. They are built, evaluated, and governed differently.

This requires organizations to move from traditional SDLC to an Agent Development LifeCycle (ADLC) (2), which...

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September 2026 Certification Roundup

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itel City 300 5G Launched at ₹14,999 with 120Hz Display

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Agentic AI and cybersecurity: Who is responsible when autonomous AI agents go wrong?

By Hakimuddin Wadlawala, Founder, Aquila I Artificial intelligence has evolved from providing answers and creating content to systems capable of performing activities autonomously. Agentic AI, as these systems are called, possess the ability to communicate with applications, retrieve data, process information and do many things without human help. The new

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Inside the making of Rockstar's GTA VI, which analysts expect to sell 40M copies and make $3B+ in revenue in its first four months; Rockstar now has 4,711 staff

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itel City 300 5G Launched at ₹14,999 with 120Hz Display

Agentic AI and cybersecurity: Who is responsible when autonomous AI agents go wrong?