Abridge is one of the fastest-growing AI companies in healthcare. This is the story of how Abridge rearchitected its developer infrastructure using Coder and transformed developer onboarding time from days to minutes.
Flaky tests are nothing new - every engineer has experienced them. Coder runs thousands of tasks that are vulnerable to be flaky. This year, we declared war on flakes to automate the worst parts of CI maintenance.
Coder’s engineering team has discovered a serious security vulnerability in the Go standard libary `database/sql` package. As of writing there are no known exploits against any applications, but we recommend updating to Go version 1.24.6 immediately and upgrading all Coder deployments to a patched release.
On July 30th, we hosted a fireside chat with leaders from Anthropic's product and developer experience team who is building Claude Code to explore how AI coding agents are reshaping development workflows. Here are the highlights.
A practical guide to AI-assisted legacy modernization that separates hype from reality. Learn where AI delivers real value, how to build effective human-AI partnerships, and implement strategies that actually work in enterprise environments.
This developer stack isn’t on the horizon—it’s here. No-code prototyping, AI-powered development, and cloud-based infrastructure move teams from idea to production in minutes.
We gave Claude Code real GitHub issues from our open-source repo to see how well it could handle actual engineering tasks. This post breaks down what worked, what didn’t, and what we learned. Including real insights on costs and where AI agents might already be useful (and where they still struggle).
Coder adopted nhooyr/websocket and will continue to maintain it as an open-source library in our own GitHub organization.
Quartz shares the high level design of a Clock interface that closely resembles the functions in the time standard library, and a "real" clock passes through to the standard library in production, while a mock clock gives precise control in testing.
Learn how we enhanced TCP performance in Coder to achieve 5X faster throughput by optimizing buffer sizes, implementing the HyStart algorithm, and minimizing packet loss, significantly improving remote development experiences.
Explore how Coder's scale testing ensured a smooth v2.0 release. In "Scale Testing Part 1: Why Scaletest?" we detail our rigorous process of identifying and fixing scalability issues, using Kubernetes for testing, and the improvements made to ensure Coder handles large-scale deployments effectively.
Learn about our plugin for Backstage.io, a framework for building developer portals
This blog explains a common testing bug when using *t.Parallel()* and test timeouts, e.g. *context.WithTimeout()*, and explains how to avoid it.
In this article, we'll discuss insights on code-server's usage in 2022. We'll also highlight major codebase improvements from the team.
Last week, an engineer noticed something suspicious in our dogfood cluster’s main coder service, coderd...
Coder has a distributed engineering team across Australia, Brazil, Ireland, and the United States. In mid-April, we converged for three days of work and play in Austin’s pleasant, beautiful spring for our first ever department offsite.
Remote IDEs bring productivity benefits to software teams. See how to optimize them for low latency
