As AI agents become capable of writing code, the job of "programmer" is fundamentally changing—code writing itself is nearly free now, so software developers will shift toward the work agents can't do: understanding what customers actually need, defining quality, and making software delightful to use.

• Code writing has collapsed in cost with LLMs; agents are rapidly improving at code review and maintenance (jumping from 50% to 95% on bug-fixing benchmarks in two years), and will soon handle deployment and scaling—leaving only higher-level judgment work for humans.
• Junior developers are getting hit hard because they were hired mainly to write code from specifications, which agents now do; entry-level hiring at big tech companies is down 65% since 2019, but total engineering hiring as a share of overall hiring has actually increased.
• The remaining durable work for software developers centers on three things agents struggle with: figuring out what customers want, defining what "good" means, and creating software that's actually pleasant to use rather than just functional.