In the last couple of years, AI assistants have gained widespread attention and many companies have rolled them out across their teams. However, reports on productivity impacts have been mixed. 2025 could be the year of agentic AI, as assistants will evolve into agents able to reliably perform larger tasks on their own.
In this session, you will learn about the developments in agentic AI, their differences to AI assistants, and what could make them a game changer in reaping productivity benefits.
We will focus on applications in software engineering where AI agents have the potential to increase coding efficiency, achieve continuous testing, improve code quality, and automate routine tasks.
This session is ideal for technology leaders looking to leverage AI for enhanced productivity and innovation in their software development workflows.
You will leave with the following takeaways:
- Streamlined interactions between the human and the AI agent are crucial for their benefit and success.
- Some use cases are already ripe for agentic AI today, others are less mature.
- Ultimately, true productivity gains come from autonomy.
