Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

GitHub Copilot's Latency Secrets - How They Built Sub-200ms Autocomplete

InfoQ via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Dive into an informative 49-minute InfoQ talk where David Cheney from GitHub reveals the architectural secrets and innovative engineering solutions behind achieving sub-200 millisecond response times for GitHub Copilot's code completion service. Explore how the team overcame the unique challenges of building a cloud-hosted, interactive autocomplete system that competes with local IDE performance. Follow their journey from initial alpha to a globally distributed system, learning about critical technical decisions including the implementation of HTTP/2, custom load balancing with GLB, and intelligent request handling strategies. The presentation provides valuable insights for engineers working on low-latency applications and distributed systems at scale, with a complete transcript available on the InfoQ website.

Syllabus

GitHub Copilot's Latency Secrets: How They Built Sub-200ms Autocomplete

Taught by

InfoQ

Reviews

Start your review of GitHub Copilot's Latency Secrets - How They Built Sub-200ms Autocomplete

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.