Skip to Content
MIT News magazine

Reality Check

Students meet for regular “code reviews” with local engineers
February 22, 2011

In undergraduate computer science classes, students are graded on whether their programs do what they’re supposed to.

In the real world, however, clear, concise code is as important as software performance. Large software projects can involve hundreds of programmers, and testing, revising, and updating software may require people to review code that they had no hand in writing.

So last fall, for the second year in a row, students in Charles E. Leiserson and Saman Amarasinghe’s Performance Engineering of Software Systems class had their code regularly reviewed by 20-odd volunteer programmers from the Boston area. After each of four class projects, roughly 70 students met with the professional programmers in pairs for code reviews of 60 to 90 minutes each.

Leiserson and Amarasinghe introduced the class three years ago, initially holding their own half-hour code reviews with individual students. “That killed us,” Leiserson says. “Even though we had a small class at the time, it was clearly not scalable.” So in the summer of 2009, they began recruiting seasoned programmers to mentor their students—and have had to turn away applicants each year. The professors believe theirs is the country’s first computer science class to incorporate code review with professional software engineers.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.