The future of software engineering will see an increase in the number of programmers and engineers, as AI tools like Devon enable more efficient workflows and task management.

The world has a growing demand for software, and providing tools for more effective software development will lead to increased productivity for coders.

In the future, we may see a shift towards on-demand custom software, where users interact with AI to generate specific code solutions tailored to their needs, resulting in ephemeral programs that solve immediate problems. There will also be a demand for smart individuals who can effectively manage AI coding tools, and if we label them as software engineers, that's acceptable, but the nature of the job will be significantly different.

As programming evolves, the need for manual coding will decrease, with more emphasis on managing agents that handle coding tasks.

As the cost of software development decreases due to AI, the demand for software will likely increase, leading to a scenario where fewer human engineers are needed to meet that demand.

The automation of coding will not eliminate jobs but will enhance productivity, allowing coders to create software at a higher value.

As AI takes on more coding tasks, maintaining a balance between automation and preserving core engineering skills is essential for the development of effective programmers.

To avoid being automated away by AI, programmers should manage larger projects and understand both the front-end and back-end, making them more valuable in the tech landscape.

If software engineering continues to advance while computer use stagnates, it may lead to a misallocation of resources and talent.