It’s refreshing to see someone focus on the less glamorous, but deeply practical side of AI. Machine learning without neural networks often gets overlooked, yet it’s powering many real-world improvements in software development workflows. From optimizing build pipelines to smarter test case prioritization, these models bring tangible efficiency without the overhead of deep learning complexity. I’ve seen how integrating tools that use lightweight ML has dramatically improved delivery cycles—especially when paired with devops automation services at https://artjoker.net/ . It's those invisible enhancements that truly shift productivity. Great post for bringing attention back to the nuts and bolts that really matter.
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