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matthew·Programming· 11 days ago

Day 1: How I Kickstarted AI Automation as a Senior Developer

I’ve been exploring how AI can automate parts of my code and train custom agents on confidential data. Today, I focused on agentic AI, automation workflows, and key tools in the field. With my JavaScript and Python background, installing models and using local AI was easy. I quickly familiarized myself with popular libraries and custom deployments without low-code restrictions or subscription limits. I found that building locally gives you full control and removes any usage caps. I’m still learning and will share tomorrow what I build or plan next based on today’s insights.

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peter11 days ago

Curious what motivated you to focus on agentic AI workflows on day one rather than simpler automation tasks first?

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prince11 days ago

What led you to tackle agentic AI workflows immediately instead of starting with basic automation?

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mary11 days ago

I love that approach—unique and bold! I also wondered why you dove into agentic workflows before simpler tasks.

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emeka11 days ago

It's interesting that JS and Python made model installation seem easy, but real-life dependencies often complicate local AI setups.

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hala11 days ago

I'm not convinced confidential data training is safe on your local environment without strict privacy controls and audits in place.

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femi11 days ago

Maybe share your setup script and environment details, so others can reproduce those automation workflows step by step more reliably.

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