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Copilot CLI /fleet speeds app porting benchmark

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Copilot CLI /fleet speeds app porting benchmark
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// 72d agoBENCHMARK RESULT

Copilot CLI /fleet speeds app porting benchmark

Burke Holland’s video benchmarks GitHub Copilot CLI’s Autopilot plus `/fleet` workflow against a Ralph-style loop for autonomous app porting in a full end-to-end run. The result highlights a familiar tradeoff: faster completion when work parallelizes well, but potentially higher premium-request cost.

// ANALYSIS

GitHub’s terminal agent stack is maturing into a real orchestration layer, but the benchmark shows speed gains are only “cheap” when the task graph is actually parallel.

  • Autopilot enables multi-step execution without constant user turn-taking, which is useful for long migration-style tasks.
  • `/fleet` can cut wall-clock time by dispatching independent subtasks to parallel subagents.
  • Parallel subagents can increase LLM interactions, so premium-request usage may rise versus simpler loop-based flows.
  • For tightly coupled, sequential app ports, loop-based control can remain competitive on cost and reliability.
  • The practical playbook is to benchmark by task shape, not hype: parallelizable refactors favor `/fleet`, dependency-heavy ports may not.
// TAGS
github-copilot-cliai-codingcliagentautomationbenchmarkmcpdevtool

DISCOVERED

72d ago

2026-03-17

PUBLISHED

72d ago

2026-03-17

RELEVANCE

9/ 10

AUTHOR

Burke Holland