Amir Behbehani, Founder of Memra and Chief AI Engineer, dives into the transformative world of Agentic AI. He explains how AI agents can act independently to boost productivity tenfold. The conversation explores the integration of AI in software development and how it changes engineers' roles. Amir highlights the importance of transparency in AI systems and discusses the exciting potential of AI in reshaping business operations. With insights on synthetic marketplaces and the future of automation, this discussion offers a glimpse into the evolving landscape of work.
45:14
forum Ask episode
web_stories AI Snips
view_agenda Chapters
auto_awesome Transcript
info_circle Episode notes
insights INSIGHT
Agentic AI Defined
Agentic AI involves code blocks with reasoning capabilities, accessing LLMs and memory.
Unlike RPA, agents interact with knowledge as context and reason their way to conclusions.
insights INSIGHT
AI-Driven Coding
AI-driven code commits are increasing, with over 13% of pull requests already bot-created.
Full application development and deployment via single prompts is not far off.
insights INSIGHT
Agentic Employees
The focus is shifting from automating repetitive tasks to creating agentic employees.
Information management becomes crucial as these agents work on your behalf.
Get the Snipd Podcast app to discover more snips from this episode
Engineering teams are already seeing efficiency gains by leveraging Gen AI solutions like Copilot, but the next wave of AI workflows has the potential to 10X productivity.
This week, we’re exploring the world of Agentic AI with Amir Behbehani, Chief AI Engineer and Founder of Memra. Agentic AI can be defined as AI agents or systems that have the capacity to make decisions or take actions on their own based on the objectives they are programmed to achieve. These AI systems act independently, gathering information, processing it, and then choosing or executing actions without direct human intervention.
Amir shares how Memra is leading the way in developing AI agents capable of handling complex tasks, decision-making, and improving productivity across industries. He also discusses the implications of AI in reshaping how businesses operate, and how organizations can prepare for a future where AI plays a central role in both day-to-day operations and high-level strategic decisions.
Whether you're an AI enthusiast, an engineering leader, or curious about the future of automation, this episode offers a deep dive into the possibilities and challenges of Agentic AI and what it means for the future of work.
Chapters:
01:23 Defining Agentic AI
07:02 Frameworks for thinking about Agentic AI
12:52 Unpacking AI as a black box
13:58 How Agentic AI will benefit software engineers
22:55 What would be a good starting point to leverage agents on an engineering team?
26:46 Will agents replace freelancers and the gig economy?
Dev Interrupted 