Semaphore

AI coding agents work best when they receive the right information without unnecessary noise. They also need clearly defined permissions and reliable safeguards for the changes they make. sem-ai 0.4.0 improves all three areas. The release introduces more

AI agents can generate and modify code quickly. But when a test fails, speed is no longer enough. The agent needs enough context to understand what happened, why it happened, and whether the code or the test itself needs to change. In our latest product u

Your pipeline fails on one job, and until now you had to rebuild the entire block to recover. Not anymore. Semaphore now reruns only the jobs that actually failed, so you get feedback faster and pay less to get it. What Shipped: Job Rerun When a pipeline

This article explains the two semaphore types introduced in C++20: std::counting_semaphore and std::binary_semaphore. We'll first use a counting semaphore to limit how many threads can operate at the same time. Then we'll use a binary semaphore to send a

MacOS Xcode16 reached the end of its supported lifecycle on Semaphore. To ensure the security, reliability, and maintainability of our platform, we are announcing the deprecation and end of life of MacOS Xcode16 build environments. Semaphore users should

Teams looking for CircleCI alternatives are rarely replacing a single feature. They are reassessing build speed, unit economics, support coverage, deployment control, and how easily their CI/CD system fits the source-control platform they already use. Cir

GitLab is a capable, integrated DevSecOps platform-but it is not the only sensible way to run CI/CD. Teams comparing GitLab alternatives are often trying to improve pipeline execution, simplify operations, get clearer support and cost options, or adopt a

Bitbucket Pipelines is a logical starting point for teams already using Bitbucket Cloud. It is built into the source-control experience, configured in a bitbucket-pipelines.yml file, and offers both Atlassian-hosted execution and self-hosted runners. But

CI optimization is easiest to reason about when the problem is concrete: one pipeline, one critical path, and one cost model. Lawmatics reached out to us with that kind of problem. Their application pipeline was already parallelized and already using a se

Jenkins earned its place as the default CI server of the 2010s: it was free, endlessly extensible, and available before any serious managed CI/CD competitor existed. More than a decade later, that same flexibility has become the thing teams complain about