Discover how updating non-code files can cause regressions in benchmarks. We investigate how CPU differences, cache architecture, and instruction set extensions affect performance measurements in CI.

Learn how to measure the performance of your C++ code by writing and running benchmarks locally and continuously in CI to catch regressions.

Learn how to measure the performance of your Rust code by writing and running benchmarks locally and continuously in CI to catch regressions.

Learn how to measure the performance of your Python code by writing and running benchmarks locally and continuously in CI to catch regressions.

Build a Gin HTTP API, write Golang benchmarks, and run them with CodSpeed in consistent CI environments

Struggling with unreliable benchmarking in CI? Learn how CodSpeed Macro Runners reduce variance and false positives, making continuous performance checks finally practical in your workflow.

Python 3.13 is out and it's time to run some benchmarks to see how well it performs with the new free-threaded mode.

Learn how Rust 1.78 fixed the alignment of 128-bit integers and how we can measure its impact on performance.

Discover how to efficiently track and analyze performance regressions with Pytest, combining it with CodSpeed to anticipate performance changes.

Track performance regressions and automatically generate flame graphs with Vitest bench and CodSpeed

Explore how CodSpeed automates flame graph generation in your CI pipeline, enabling you to easily pinpoint performance regressions and gain invaluable insights into your software's performance.

Explore the performance implications and compiler optimizations around Rust's lack of a built-in div_rem function.

CodSpeed is a new tool to measure the performance of your code consistently, bringing reliable performance checks to Continuous Integration environments.