Hi. Well, sure I could consider myself a software engineer with an emphasis in agentic engineering...but that's not how I see the world now.
Check out this episode from my podcast to understand my thinking more: https://millillion.org/podcast/001-we-are-all-agentic-engine...
The extent to which AI is performing essentially all of my code generation and a large portion of the actual software engineering is astounding. My role has largely evolved into perfecting the process by which the agents are guided into well-architected solutions, manually testing their outputs, judging the artifacts that they present as evidence of clean code and robust implementation, and understanding business workflows well enough to guide the agents to a good working app that can be used by people.
AI is so integral to everything that I do professionally and in the software engineering space, it's outrageous. And I can apply those skills with extreme effectiveness to other areas outside of software engineering, such as tax preparation, legal document design, and my associates to CAD, energy flow analysis, structural engineering, etc.
I believe it is a very useful way to set ourselves up for our current reality and the future of work that is increasingly upon us.
I typed "define engineer" into Google just now and it's AI result says: "An engineer is a professional who applies science, math, and technology to design, build, and solve practical real-world problems"
Is that not very close to what I and many others are doing with AI now? The agents are the technology that I'm using to design, build, and solve practical real-world problems.
We need to adopt the agent as the core engineering tool now to be most effective moving forward, so I believe that we should all consider ourselves agentic engineers or developers with an emphasis in our previously acquired skillsets.
Check out this episode from my podcast to understand my thinking more: https://millillion.org/podcast/001-we-are-all-agentic-engine...
The extent to which AI is performing essentially all of my code generation and a large portion of the actual software engineering is astounding. My role has largely evolved into perfecting the process by which the agents are guided into well-architected solutions, manually testing their outputs, judging the artifacts that they present as evidence of clean code and robust implementation, and understanding business workflows well enough to guide the agents to a good working app that can be used by people.
AI is so integral to everything that I do professionally and in the software engineering space, it's outrageous. And I can apply those skills with extreme effectiveness to other areas outside of software engineering, such as tax preparation, legal document design, and my associates to CAD, energy flow analysis, structural engineering, etc.
I believe it is a very useful way to set ourselves up for our current reality and the future of work that is increasingly upon us.
I typed "define engineer" into Google just now and it's AI result says: "An engineer is a professional who applies science, math, and technology to design, build, and solve practical real-world problems"
Is that not very close to what I and many others are doing with AI now? The agents are the technology that I'm using to design, build, and solve practical real-world problems.
We need to adopt the agent as the core engineering tool now to be most effective moving forward, so I believe that we should all consider ourselves agentic engineers or developers with an emphasis in our previously acquired skillsets.