Code of Leadership S2E16: The Junior Engineer After Code — How Do We Develop Engineers When Execution Moves to Agents? (#Education)

Today is September 1, and I wanted to announce tomorrow's live stream at 13:00 about junior engineers and more. AI agents can already assemble prototypes, write tests, find errors, and propose ready-made changes in minutes. The artifacts are getting better, and the difference between a junior engineer's work and an experienced engineer's work in a demo is becoming less visible. But the same result does not imply the same competence.

Who defined the correctness criteria? Who checked the solution in its real context? Who understands the system's constraints and is accountable for the consequences after release? Most importantly, where can a beginning engineer gain experience when agents are gradually taking over safe entry-level tasks?

In the episode, we will discuss: — why execution speed, skill, and responsibility are three different metrics; — how to preserve the productive effort through which engineering judgment develops; — why a pull request is only the middle of the work, not its completion; — how to build a ladder of responsibility from a fragment of code to ownership of a component; — what to change in hiring when coding speed is no longer a strong signal; — why hiring junior engineers without a mentoring system is becoming an especially expensive decision.

We will also discuss what such a system should look like: who owns an engineer's development, which working rhythms support growth, and why a team needs two scoreboards—usefulness today and independence tomorrow.

This episode is not only about junior engineers. It is about whether a company can develop strong engineers in a world where the first version of a solution has become almost free.

#Career #Engineering #Software #Leadership #SelfDevelopment