Hey!
This month’s list is short, but every item is worth your time.
Apply for one of up to 40 JetBrains Foundation scholarships for the CSAI BSc program by June 9, try a new AI tools course for developers, discover a program that brings hands-on coding practice into JetBrains IDEs, and read about the value of productive struggle in learning to code.
Learning highlights
JetBrains Foundation Scholarship
The JetBrains Foundation offers up to 40 full scholarships for the four-year CSAI BSc program at Neapolis University Pafos, covering tuition, accommodation, and other expenses, plus a €300 monthly stipend. Second-round applications close soon.
Apply now
AI Tools for Developers
This new self-paced course from JetBrains Academy helps developers use generative AI for complex code generation, automated debugging, testing, refactoring, and performance optimization. You’ll move beyond one-off prompts and learn how to integrate AI tools into everyday software development workflows.
Start learning
For course creators
JetBrains Course Creators Program
Do you already teach programming on Udemy, Coursera, LinkedIn Learning, or your own platform? Integrate your courses into JetBrains IDEs and let your students practice on the same tools developers use at work. You’ll get product access, technical guidance, promotional support, and help with shaping the integration. Most creators complete the setup process in two to four weeks.
Join the program
Read and reflect
“Friction-maxxing”, Failure, and Learning to Code
Could a little friction actually improve learning? Clara Maine explores why struggle, mistakes, and debugging can help build deeper understanding – and why AI tutors can sometimes make you feel like you’re learning more than you actually are.
Read the essay
Watch and learn
What to Do When Software Engineering Becomes Context Engineering
In this webinar, Microsoft’s Maxim Salnikov and JetBrains’ Ciara Byrne discussed context engineering and agentic AI in software development. They explored how developer roles are evolving, why review cycles are getting longer, and which AI adoption anti-patterns teams should watch out for.
Watch the recap
