General software development (CRUD/backend basics)

Tools like GitHub Copilot and Cursor can already scaffold and maintain routine backend/frontend code that junior engineers typically handle.

Debugging & QA testing

AI-powered testing frameworks and autonomous debugging agents (e.g. Devin) are rapidly closing the gap on junior-level troubleshooting tasks.

Academic coursework skills (Computer Organization)

Foundational CS knowledge is increasingly commoditized as LLMs can explain, simulate, and even generate low-level systems code on demand.

Logistics/route support tasks

Instacart itself is a heavy investor in AI-driven delivery and inventory optimization, shrinking the need for manual oversight roles.

Adaptability & problem-solving mindset

Self-described versatility signals willingness to pivot roles/stacks — a trait AI can't replicate and companies value in uncertain hiring markets.

Team collaboration

Cross-functional teamwork, stakeholder communication, and mentorship remain human-centric skills that are hard to fully automate.

Early career flexibility

Being early-career means more runway to specialize in AI-resistant niches (security, infra, ML systems) before automation fully matures.