Spike Curtis

Principal Engineer

When you build developer infrastructure that thousands of engineers depend on, your own development environment has to hold up under pressure. At Coder, we use Coder to build Coder. That means our developers work on large shared machines with significant CPU and memory, and running Go's parallel test suite to shorten the inner code-test loop. That setup comes with real advantages. 

How changing one constant reduced our CI memory usage by 70%

How Changing One Constant Reduced Our CI Memory Usage By 70%

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.

Query-Mutating Data Race in Go: Hiding in Plain Sight

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.

Introducing Quartz: A Deterministic Time Testing Library for Go

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.

How We Improved the Performance of a Userspace TCP Stack in Go by 5X

This blog explains a common testing bug when using <span style="color:red">*t.Parallel()*</span> and test timeouts, e.g. <span style="color:red">*context.WithTimeout()*</span>, and explains how to avoid it.

Go Testing: Contexts and t.Parallel()

Last week, an engineer noticed something suspicious in our dogfood cluster’s main coder service, coderd...

Spike Curtis

Explore the latest from Spike

How Changing One Constant Reduced Our CI Memory Usage By 70%

Query-Mutating Data Race in Go: Hiding in Plain Sight

Introducing Quartz: A Deterministic Time Testing Library for Go

How We Improved the Performance of a Userspace TCP Stack in Go by 5X

Go Testing: Contexts and t.Parallel()

HTTP Resource Leak Mysteries in Go

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