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product#agent📝 BlogAnalyzed: Jan 19, 2026 18:15

GitLab's AI Revolution: The Launch of the Duo Agent Platform!

Published:Jan 19, 2026 18:08
1 min read
Qiita AI

Analysis

GitLab's latest foray into AI with the Duo Agent Platform is poised to redefine developer workflows. This innovative platform is set to enhance productivity and streamline development processes, offering exciting new possibilities for users.
Reference

“Before dismissing it as just another AI agent, let's explore GitLab's latest AI features.”

PermalinkQiita AI
Research#llm📝 BlogAnalyzed: Dec 27, 2025 21:00

What tools do ML engineers actually use day-to-day (besides training models)?

Published:Dec 27, 2025 20:00
1 min read
r/learnmachinelearning

Analysis

This Reddit post from r/learnmachinelearning highlights a common misconception about the role of ML engineers. It correctly points out that model training is only a small part of the job. The post seeks advice on essential tools for data cleaning, feature engineering, deployment, monitoring, and maintenance. The mentioned tools like Pandas, SQL, Kubernetes, AWS, FastAPI/Flask are indeed important, but the discussion could benefit from including tools for model monitoring (e.g., Evidently AI, Arize AI), CI/CD pipelines (e.g., Jenkins, GitLab CI), and data versioning (e.g., DVC). The post serves as a good starting point for aspiring ML engineers to understand the breadth of skills required beyond model building.
Reference

“So I’ve been hearing that most of your job as an ML engineer isn't model building but rather data cleaning, feature pipelines, deployment, monitoring, maintenance, etc.”

Permalinkr/learnmachinelearning