Reciprocal
Education

Join us in building a future where anyone, anywhere can learn—and help teach—the skills needed for the age of AI.

Our Mission

We strive to build the teaching engine, platform infrastructure, and partnership model that enable communities to grow confident STEM teachers, empower learners, and deliver human-centered CS and AI education at scale.

Our Vision

A world where curiosity sparks learning, learning invites teaching, and communities everywhere build the capacity and agency to navigate the technologies shaping our lives.

Let's Work Together

We partner with institutions to turn proven research into scalable, community-powered STEM learning programs.

Creation Partners

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Organizations that co-create new programs using Reciprocal's teaching model and platform, owning learner recruitment, delivery, and outcomes while building something net-new for their community.

Adoption Partners

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Institutions with existing courses or programs that adopt Reciprocal’s platform and teaching model to enhance scale, quality, and instructional effectiveness within their current ecosystem.

Solution Partners

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Organizations that engage Reciprocal for specific AI-powered capabilities such as grading, feedback, or instructional tooling, without adopting the full teaching model or program.

Our Story

The rapid advance of generative AI has reshaped economies and opportunities worldwide, while access to high-quality computer science education has remained uneven—and often out of reach.

Code in Place, created by Stanford professor Chris Piech and his research lab, demonstrated that a different model could work.  By combining a rigorous curriculum with small-group, community-based teaching, it enabled +50,000 learners across more than 150 countries to learn together—with completion rates at 10x traditional online courses. It demonstrated that human-centered learning can scale.

Reciprocal emerged from that success. Building on the research, pedagogy, and infrastructure behind Code in Place, Reciprocal now supports institutions and communities in adopting and growing this model themselves. Today, we partner with universities, governments, and educators to expand access to computer science and AI education—turning learning into a shared, community-powered experience that continues to grow over time.

Team

Reciprocal is built by educators, researchers, engineers, and community leaders who believe learning works best when it’s human-centered, rigorous, and shared. Our team brings together Stanford-born research, global teaching experience, and a deep commitment to expanding opportunity through education.

Our work builds on the fantastic work of Chris Piech, Mehran Sahami, Julie Zelenski, Ali Malik, Juliette Woodrow, Brahm Capoor, Sierra Wang, Cameron Mohne, Andrew Tierno, TJ Jefferson, Miranda Li, Joseph Tey, Mitchell Estberg, Joshua Delgadillo, Julia Markel, Binh Le, Dora Demszky, Uera Smith III, and many more.

Chris Piech, Alexis Cabrera, and Clarissa Shen make up our board.

Chris Piech
Alexis Cabrera
Clarissa Chen

Partner with Us

Interested in bringing high-quality computer science and AI education to your students at scale?

We work with universities and government institutions to launch and support community-driven learning programs—whether by integrating our platform, running programs with us, or collaborating on new models. Use the form below to start a conversation with our team.

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