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Agentic AI in DevOps · October 16

#23 — Git Hosting Has a Scale Problem. Do You?

Agents can produce pull requests faster than teams can review them, even while Git stays fast. Hosting platforms face real scaling pressure, but most teams hit other limits first. Andrey Devyatkin, Vladimir Samoylov and Fernando Piviani examine GitHub, GitLab and Cursor Origin's storage changes, Anthropic's Scion, file APIs that avoid unnecessary clones, and Entire's transcript checkpoints as a way to preserve intent without overlooking secrets and access controls. What you will learn: Why Git hosting scale problems rarely require ordinary teams to migrate Which agent lookup jobs can use file APIs instead of clones Why short-lived credentials and separate transcript access boundaries matter How intent blocks help reviewers assess agent pull requests Why faster pushes do not eliminate coordination around a shared ref Maybe try B.O.R.I.S, our context layer for AI agents: https://www.getboris.ai Episode page, show notes and links

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show notes

Agents can produce pull requests faster than teams can review them, even while Git stays fast. Hosting platforms face real scaling pressure, but most teams hit other limits first.

Andrey Devyatkin, Vladimir Samoylov and Fernando Piviani examine GitHub, GitLab and Cursor Origin's storage changes, Anthropic's Scion, file APIs that avoid unnecessary clones, and Entire's transcript checkpoints as a way to preserve intent without overlooking secrets and access controls.

What you will learn:

  • Why Git hosting scale problems rarely require ordinary teams to migrate
  • Which agent lookup jobs can use file APIs instead of clones
  • Why short-lived credentials and separate transcript access boundaries matter
  • How intent blocks help reviewers assess agent pull requests
  • Why faster pushes do not eliminate coordination around a shared ref

Maybe try B.O.R.I.S, our context layer for AI agents: https://www.getboris.ai

Episode page, show notes and links

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