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3 ways to streamline AI code reviews across your team

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GitHub 3 ways to streamline AI code reviews across your team at 0:00close presenter
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Transkript von 3 ways to streamline AI code reviews across your team

Von einem Sprachmodell aus dem Ton des Films transkribiert, nicht von der Marke geschrieben. Klicke auf eine Zeile, um an diese Stelle zu springen.

  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 Zeilen · 300 Wörter

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