From Small-Town Roots to Stanford's Youngest Instructor: Rachel Fernandez on AI, C++, and Computer Science Education
Introduction
In a recent episode of the freeCodeCamp podcast, Quincy Larson spoke with Rachel Fernandez, a computer science student at Stanford University who also holds the distinction of being the youngest instructor on campus. Her journey from a small California town to the forefront of tech education offers valuable insights for developers at every stage of their careers. This article explores the key takeaways from their conversation, covering the state of computer science education in 2026, the enduring relevance of C++, and how developers can leverage AI tools without losing their core skills.
Rachel Fernandez: A Trailblazer in Tech Education
Rachel Fernandez grew up in Westminster, California, a community where the majority of residents are of Mexican and Vietnamese descent. At her high school, 70% of students qualified for free or reduced-price lunches. Rachel became the first student from her school in years to gain admission to Stanford University—a testament to her determination and talent.
Now a computer science student, she recently co-organized TreeHacks, Stanford's annual hackathon. The event drew 15,000 applicants, with only 1,000 participants selected. Over a single weekend, these teams built innovative projects, competing for a million dollars in prizes. Rachel's role in such a high-stakes environment highlights her leadership and technical acumen.
The State of Computer Science Education in 2026
During the interview, Rachel offered her perspective on how computer science education has evolved. She noted that universities are increasingly blending theoretical foundations with practical, project-based learning. However, she also pointed out the challenge of keeping curricula current in a field that changes so rapidly. Rachel emphasized the importance of learning how to learn—a skill that online resources like freeCodeCamp help cultivate.
Bridging the Accessibility Gap
Given her background, Rachel is passionate about making tech education accessible to underrepresented groups. She highlighted initiatives like freeCodeCamp's open-source curriculum, which provides high-quality learning materials at no cost. She also discussed the role of mentorship and community support in helping students from non-traditional backgrounds break into tech.
Why C++ Still Matters
Rachel teaches C++ at Stanford, and she shared her thoughts on why this decades-old language remains crucial. Despite the rise of higher-level languages and AI-assisted coding, C++ is still the backbone of performance-critical systems—from game engines to operating systems to embedded devices.
- Performance and control: C++ gives developers fine-grained memory management, essential for high-performance applications.
- Legacy systems: Many existing systems in finance, aerospace, and infrastructure are written in C++, requiring maintenance and modernization.
- Foundation for learning: Mastering C++ forces a deep understanding of computer architecture and memory, which benefits developers in any language.
Rachel advised that while AI tools can generate C++ code, developers must understand the underlying logic to debug and optimize it effectively.
AI Tools: Use Them Without Deskilling
One of the most discussed topics was how developers should integrate AI into their workflow without becoming overly dependent. Rachel offered several practical tips:
- Understand the output: Don't just copy-paste code from AI assistants. Read, test, and modify it to ensure you grasp each line.
- Use AI for repetitive tasks: Let AI handle boilerplate, documentation, or simple debugging, but do the complex architecture thinking yourself.
- Keep learning fundamentals: Spend time studying data structures, algorithms, and design patterns, because AI tools are only as good as the person guiding them.
- Practice without AI: Regularly code from scratch to maintain your skills and problem-solving sharpness.
Rachel's approach aligns with freeCodeCamp's recently published handbook on AI-Assisted Coding, which covers similar strategies.
TreeHacks: Building Under Pressure
Rachel's experience with TreeHacks gave her a unique perspective on rapid prototyping and teamwork. She described how participants had to balance ambition with realism, often pivoting mid-weekend when their initial ideas proved too complex. The hackathon awarded over a million dollars in prizes, but Rachel emphasized that the real value was in the collaboration and learning.
Additional Resources from freeCodeCamp
In the podcast episode, Quincy also highlighted several freeCodeCamp resources that complement the topics covered:
- Automation for Beginners Course – Learn to automate daily tasks using triggers and actions, culminating in building a Model Context Protocol server.
- Data Quality Handbook – Understand common data errors and validation strategies across frontend, backend, database, and business logic layers.
- AI Governance Handbook – Practical Python projects covering model cards, bias detection, audit trails, and human-in-the-loop systems.
Key Takeaways for Developers
Rachel's interview serves as a reminder that success in tech requires both technical proficiency and a growth mindset. Whether you're a beginner or an experienced developer, embracing lifelong learning, understanding foundational languages like C++, and using AI as a tool—not a crutch—will help you stay relevant and innovative.
Watch or Listen to the Full Interview
The entire conversation with Rachel Fernandez is available on the freeCodeCamp podcast. You can watch it on the freeCodeCamp.org YouTube channel or listen on your favorite podcast app. To connect with Rachel, visit her LinkedIn profile.
Song of the week: Danza Marilù by L'Impératrice – a 2024 disco banger with a syncopated bass line and alternating French/Italian vocals.