AI coding agents are becoming more prevalent and are revolutionizing the way engineers work by allowing them to assign specific tasks to AI for completion.
These agents have the capability to gather requirements, analyze codebases, develop a plan, write secure code, and generate pull requests for human review.
Companies like GitHub have implemented AI coding agents, which may lead to a shift in focus from resource constraints to user value in product development.
The core technologies used in AI coding agents include LLMs, MCP, code repositories, and more, enabling them to handle tasks such as bug fixes, test coverage, refactoring, and API endpoint creation.