Artificial Intelligence
Agentic AI in Software Engineering: Copilots to Autonomous Developers - Part 28
S
Sumit Kumar
Introduction to Agentic AI in Software Engineering: Copilots to Autonomous Developers - Part 28
Agentic AI represents a paradigm shift from conversational AI to autonomous systems that can plan, reason, and execute tasks on behalf of users. In this post, we explore the nuances of this technology.
An AI agent typically consists of a large language model (LLM) as its 'brain', equipped with various tools (like web search, code execution, or database access), and a memory system to maintain context across interactions.
The Core Components
- Planning: The ability to break down complex tasks into subtasks.
- Memory: Short-term and long-term context retention.
- Tool Use: Interacting with external APIs and environments.
As we continue to develop these systems, the line between software tools and artificial collaborators will blur, ushering in a new era of productivity.