What will the next generation of developers do when AI writes the code?
Microsoft and Carnegie Mellon University launched PRAISE, a mentorship program pairing junior engineers with senior preceptors to adapt to AI-driven software development while preserving engineering accountability.
Microsoft and Carnegie Mellon University have launched PRAISE, a preceptorship program that pairs early-career engineers with senior mentors to navigate AI-accelerated software development. The initiative borrows from nursing preceptorship models, emphasizing hands-on learning and confidence-building rather than traditional coding drills. The goal is to prepare junior engineers for roles where AI handles routine coding, shifting focus to design, architecture, and system understanding. Microsoft emphasizes that human oversight remains critical even as AI tools automate parts of the development process.
The program integrates practical workplace experience with formal academic instruction from Carnegie Mellon University. Junior engineers work alongside senior preceptors to solve real-world problems, gaining exposure to production-ready solutions. Mentors provide guidance on when to use AI tools and how to evaluate their outputs, fostering judgment and accountability. The partnership aims to bridge the gap between theoretical computer science education and the evolving demands of modern software engineering.
Carnegie Mellon University’s involvement includes developing a curriculum to complement on-the-job training, covering topics like deploying production solutions and applying computer science research to real-world challenges. Michael Hilton of Carnegie Mellon noted that combining academic expertise with industry practice creates solutions grounded in research yet aligned with daily development realities. The program targets early-career engineers to build expertise before they assume senior roles.
Microsoft and Carnegie Mellon University highlight that AI changes software development but does not eliminate the need for human engineers. The PRAISE model teaches junior engineers to assess AI-generated code, make design decisions, and understand system implications. By fostering mentorship and structured learning, the program seeks to maintain a robust talent pipeline for future engineering roles.