302. Refactoring Legacy Code with the Strangler Fig Pattern (shopify.engineering)
303. The Evolution of Kit: Automating Marketing Using Machine Learning (shopify.engineering)
304. Creating Native Components That Accept React Native Subviews (shopify.engineering)
305. Your Circuit Breaker is Misconfigured (shopify.engineering)
306. Great Code Reviews—The Superpower Your Team Needs (shopify.engineering)
307. Bug Bounty Year in Review 2019 (shopify.engineering)
308. React Native is the Future of Mobile at Shopify (shopify.engineering)
309. Scaling Mobile Development by Treating Apps as Services (shopify.engineering)
310. How to Implement a Secure Central Authentication Service in Six Steps (shopify.engineering)
311. How Shopify Manages API Versioning and Breaking Changes (shopify.engineering)
312. Successfully Merging the Work of 1000+ Developers (shopify.engineering)
313. Four Steps to Creating Effective Game Day Tests (shopify.engineering)
314. Sam Saffron AMA: Performance and Monitoring with Ruby (shopify.engineering)
315. Make Great Decisions Quickly with TOMASP (shopify.engineering)
316. Five Common Data Stores and When to Use Them (shopify.engineering)
317. How to Write Fast Code in Ruby on Rails (shopify.engineering)
318. How Shopify Manages Petabyte Scale MySQL Backup and Restore (shopify.engineering)
319. How Shopify Scales Up Its Development Teams (shopify.engineering)
320. Want to Improve UI Performance? Start by Understanding Your User (shopify.engineering)
321. Building Resilient GraphQL APIs Using Idempotency (shopify.engineering)
322. Living on the Edge of Rails (shopify.engineering)
323. Pagination with Relative Cursors (shopify.engineering)
324. Lessons from Leading a Remote Engineering Team (shopify.engineering)
325. Componentizing Shopify’s Tax Engine (shopify.engineering)
326. Implementing Android POS Receipt Printing on Shopify (shopify.engineering)
327. Mobile Release Engineering at Scale with Shipit Mobile (shopify.engineering)
328. Pair Programming Explained (shopify.engineering)
Pair Programming is when two people write, debug, or explore code together. It’s simple, but getting the most out of your pairing session can take some work.