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Whether you're on the GenAI train or not, it's clear that the velocity and volume of code creation are increasing. If you're facing scaling issues with your existing tools, it will only get worse. First-generation CI/CD systems like Jenkins are starting to buckle under the pressure. Remember when deploying 10 times a year was a big deal? Today, deploying 10 times an hour is more the norm. We've heard many stories where Jenkins shows its age, but they all share some common themes: Scale ceiling: Adding your second, third, or even fourth Jenkins controller might feel manageable. But as teams hit their 10th, 20th, or more, the infrastructure becomes fragile and unmanageable. Each new controller adds complexity and risk. Plugin chaos: Jenkins relies heavily on plugins for functionality. Unfortunately, many plugins become abandonware, leaving teams to either maintain them or face security vulnerabilities. Compatibility issues slow down upgrades and can cause significant downtime. Outdated UI: The Jenkins UI is a common pain point. It's often seen as outdated and cumbersome, leading to frustration and reduced productivity. Triaging and resolving issues in CI becomes a bottleneck. These problems add up, leading to what we call "delivery decay." Teams lose valuable time waiting for pipelines to complete, dealing with crashes, and managing an increasingly complex infrastructure. The productivity cost and maintenance burden of staying on Jenkins sneaks up on you. What will be your breaking point with Jenkins? https://lnkd.in/g7FiFyr9

Can Jenkins scale in the era of AI-assisted development?

Can Jenkins scale in the era of AI-assisted development?

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