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3 ways to streamline AI code reviews across your team

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2:01
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американский английский
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5,3 тыс.
Медианная склейка
10.00s
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GitHub 3 ways to streamline AI code reviews across your team at 0:00close presenter
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Расшифровка: 3 ways to streamline AI code reviews across your team

Расшифровано речевой моделью по звуку самого ролика, а не написано брендом. Нажмите на строку, чтобы перейти к этому моменту.

  1. 0:00How should organizations manage reviewing all the code that AI generates?
  2. 0:08We understand, of course, the importance of DevOps and reviewing all of that code
  3. 0:13before it eventually gets pushed out to production.
  4. 0:16But I talk to developers who often feel overwhelmed by the amount of code
  5. 0:21and that sometimes they're really spending more time reading and reviewing that code
  6. 0:27than they would have spent if they would have just written it by themselves.
  7. 0:30How can we help streamline that review process?
  8. 0:34I see growing review backlogs as a signal that the overall system
  9. 0:39hasn't yet been calibrated for the newer agentic ways of working.
  10. 0:43Often, one or more of the following might be occurring.
  11. 0:46First, the work an agent picked up may have been poorly scoped.
  12. 0:51In our agentic engineering system, we would see this as an opportunity
  13. 0:55to improve the health of shared knowledge or the direct mode.
  14. 0:59It's about improving the inputs, for example, acceptance criteria
  15. 1:02or relevant prior decisions, so the review then becomes easier.
  16. 1:07Second, reduce the scope of what agents are asked to do,
  17. 1:11so poor requests are smaller and reviewable in one pass.
  18. 1:15Those who are familiar with coding best practices
  19. 1:17will recognise that keeping PRs small is not a new concept.
  20. 1:21It's actually a great example of how engineering fundamentals have not changed,
  21. 1:26and engineers should continue to bring those fundamentals to how they work with agents.
  22. 1:31GitHub's Stack PRs feature is useful here too.
  23. 1:35Third, try to avoid letting those reviews pile up.
  24. 1:38This is about understanding that the system itself needs reconsideration
  25. 1:42as agents are increasingly used and the modes that people and agents play changes.
  26. 1:48While output may be increasing, engineers may find they spend more time in the direct
  27. 1:53and assess modes rather than in the perform mode.
27 строк · 300 слов

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