For Software Engineering
AI is rewriting entry-level software engineering, not erasing the field. Dilly shows where you still beat AI, where it's catching up, and exactly what to do next — opening already knowing your field, scoring every job, and building resumes from your real projects.
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Profile facts grounding every AI answer
Mostly no — but it's reshaping the job, especially at entry level. AI now writes boilerplate, CRUD endpoints, and test scaffolds, and a 2025 Stanford study found entry-level software roles fell nearly 20% since 2022. Systems design, code review judgment, and production-incident reasoning stay human. The edge is directing AI, not competing with it. See the full stay-ahead-of-AI guide.
Field Pulse · Software Engineering
of new SWE postings now expect AI-assisted dev fluency.
Source: refreshed weekly
Not wholesale, but it's compressing entry-level work. AI handles boilerplate, scaffolding, and simple code well, and junior hiring has slowed — entry-level software roles fell nearly 20% from 2022 to 2025 per Stanford research. Engineers who design systems, review code with judgment, and own production outcomes remain in demand.
The routine, learnable ones: boilerplate scaffolding, CRUD endpoints, standard test scaffolds, and first-draft implementations. These were classic ways juniors broke in, which is exactly why the bottom rung is getting harder to reach.
Systems design, code-review judgment, debugging production incidents under pressure, and architectural trade-off decisions. Anything that requires holding the whole system in your head and owning the consequences resists automation.
Become fluent with AI coding tools, then go beyond them: ship real projects, learn systems design early, and practice reasoning about failures, not just writing features. Dilly's Forecast maps which software engineering skills are gaining or losing value so you invest your time well. Read the full guide.
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