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https://github.com/sl1pm4t/k2tf : Nifty tool to convert yaml to hcl. Useful when incorporating kubernetes provider
At Codemancers, we believe every day is an opportunity to grow. This section is where our team shares bite-sized discoveries, technical breakthroughs and fascinating nuggets of wisdom we've stumbled upon in our work.
remote_console argument to get a remote shell.remote_console argument to get a remote shell.kubectl get secret) base64 encoded and define an environment variable in kubernetes config to access them in your app.text-transform: capitalize won't capitalize the text if the whole content is already in upper case. will see the difference only if content is lower case https://jsbin.com/nemaqaf/edit?html,css,js,outputcredentials('global-cred-id') to use Jenkins credentials inside pipline Eg: DANGER_GITHUB_API_TOKEN = credentials('78c4b861-f9e8-44b8-8510-4d734ab752a0')backoffLimit to specify how many times a job should retryncalShowing page 29 of 42
AI is everywhere but it's unclear which investments will actually move your metrics and which are expensive experiments.
Most AI projects fail at the data layer. Pipelines, quality, access all need work before LLMs can deliver value.
Your engineers are shipping product. They don't have capacity to also become AI specialists with production-grade experience.
Aging, undocumented codebases make AI integration slow, risky, and expensive. They need to move first.