Case Study: LendingTree increases engineering velocity with Augment Code

LendingTree cuts sprint planning from 1-2 days to minutes with Augment Code

LendingTree, a major online lending marketplace, faced significant operational challenges in its IT Operations team. The team, responsible for supporting over 1,200 microservices across AWS and Azure, struggled with time-consuming manual processes. These included sprint planning, cloud spend reporting, debugging, and unit test generation, which consumed valuable developer time and slowed velocity. They turned to Augment Code for a context-aware AI solution to automate this toil.

By implementing Augment Code, LendingTree automated key workflows. The solution generated Jira stories from Confluence briefs, analyzed cloud spend across providers, debugged complex issues, and wrote unit tests. The results were substantial: sprint planning was reduced from days to minutes, a critical bug was fixed in 15 minutes instead of hours, and the tool's annual cost was covered within a single month of use. Augment Code successfully freed the team from manual tasks, allowing them to focus on higher-value work.

LendingTree