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dmpetrov

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  1. Anthropic's in-house data analytics with Claude (claude.com)
    4 points 2
  2. Code as Agent Harness (code-as-harness.github.io)
    3 points 1
  3. Issue tracking for AI-assisted software work (github.com)
    3 points 0
  4. How to Build a Data Agent in 2026 (twitter.com)
    2 points 0
  5. Entire - hooks into your Git workflow to capture AI agent sessions (github.com)
    2 points 0
  6. Monty: A minimal, secure Python interpreter written in Rust for use by AI (github.com)
    323 points 54
  7. Overcoming data inconsistency with a universal semantic layer (infoworld.com)
    1 points 0
  8. Ask HN: Why Kubernetes is called Cloud-Native?

    You still have to run and manage K8S Control Plane / master nodes for resource scheduling. IMO Cloud-Native is when a cloud manages everything for you. Like S3 storage or AWS Kafka service or AWS Lambda. Managing K8S…

    1 points 4
  9. Show HN: TPI – Terraform provider for ML and self-recovering spot-instances (github.com)
    12 points 4
  10. Show HN: CML – CI/CD for Machine Learning with GitHub Actions and Gitlab CI (github.com)
    1 points 1
  11. Unicorn data scientists – why should we all learn DevOps (towardsdatascience.com)
    1 points 0
  12. Show HN: DVC 1.0 release. 5 lessons from 3 years of building open-source ML tool

    Hey HN, creator of DVC here! DVC (https://dvc.org/) is known as Git for data projects. Technically, DVC codifies your data and machine learning pipelines as text metafiles (with pointers to actual data in…

    19 points 4
  13. How to Version Control Your Machine Learning and Deep Learning Tasks (medium.com)
    3 points 0
  14. Git for data science projects (dataversioncontrol.com)
    3 points 0