Do newer coding models end up training on the AI slop generated by older models?
As old coding models were writing and pushing code to public, does the new coding models train on them because generated code by old coding models were not so good?
As old coding models were writing and pushing code to public, does the new coding models train on them because generated code by old coding models were not so good?
What happens when we do compress the context in claude code? How does the reduce the context with out loosing the details?
What really happens behind the scenes when we select high effort vs medium effort for the same LLM models?
What do you think existing developers will work on if companies start using coding agents ?
We currently utilize GitLab CI/CD pipelines to deploy our Kubernetes clusters. I am planning to integrate AI agents to gather cluster-related data and automate the deployment process. I am considering two primary approaches:Replacing GitLab CI/CD with Agentic Workflows: Is this a reliable strategy? With GitLab, we can easily rerun a pipeline from the point of failure after fixing an issue. I am...