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AI agents are changing software development: an experienced programmer can assign implementation, tests, review, and docs in parallel. A working model, hard limits, and the skills of an engineer who directs workers — not only types code.
AI does not erase professions wholesale; it devalues ways of creating value. What apps, courses, and roles lose — and where data, integration, and accountability grow.
AI makes code cheap, not systems. Who stays valuable in 5–10 years, why juniors are exposed, and what to learn in 2026.
AI already writes working functions, but a product is architecture, context, risk, and accountability. The boundary between code and engineering, a 15-year legacy case study, and developer skills in 2026.
FAccT 2026 study of 3M applicants and one screening vendor—racial adverse impact and 4% all-reject outcomes across ten jobs.
A quantified ASP fragment for optimization up to Δ₃ᵖ—tight complexity results plus CEGAR in the Casper system.
An agent framework turns intents into RAN solutions validated OTA, with SYNAPSE as ground truth—addressing LLM API hallucinations and sim-to-real gaps.
