News and updates from the Gitar team. – find it all here.
AI-assisted coding promises faster workflows and better delivery for software development teams. However, many engineering
As a developer, you’ve likely felt the frustration of being pulled out of a complex
GitLab CI/CD streamlines software development, but pipeline failures often slow progress and frustrate teams. Debugging
CI build failures drain productivity and cost organizations millions every year. Developers lose up to
CI build failures slow down secure software development lifecycle (SSDLC) pipelines, frustrate developers, and delay
Key Takeaways Manual CI failures and slow code reviews create a persistent productivity drag in
Software development teams often face a productivity challenge that slows their progress and impacts morale.
Cloud-native CI/CD promised faster deployments and happier developers, but many engineering teams face a different
CI pipeline failures can eat up a significant chunk of developer time, often requiring repetitive
