
One of the new things I like about KodeKloud is the introduction of AI-powered assistance in labs, which helps with hints, troubleshooting, and understanding mistakes in real time. The AI support, combined with scenario-based labs and production-like playgrounds, makes learning faster, more interactive, and closer to real-world DevOps workflows. Review collected by and hosted on G2.com.
One area where KodeKloud could improve is by introducing agentic AI that acts like a real DevOps assistant. For example, an AI agent that can observe lab progress, suggest next steps, help debug issues proactively, and simulate real incident-response scenarios. This would make labs more interactive, closer to on-the-job problem solving, and help learners develop decision-making skills, not just tool knowledge. Review collected by and hosted on G2.com.
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