November 2025 Summaries
8 posts from Weave
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In the evolving landscape of software engineering, traditional DORA metrics are no longer sufficient due to the impact of AI, leading to the introduction of AI3 metrics to better assess AI's effectiveness within teams. These metrics include AI Output Percentage, which measures how much of the code is AI-generated, Cost, which evaluates the financial expenditure on AI tools per engineer, and Turnover, which tracks the rate at which code is rewritten or deleted within 30 days. AI3 metrics provide a comprehensive understanding of AI's role, allowing teams to make informed decisions about AI's contribution to productivity and cost-effectiveness. By analyzing these metrics, teams can discern patterns in AI usage, connect financial expenditure to output, and evaluate the quality of AI-generated code, ultimately aiming to optimize AI's integration into their workflows.
Nov 26, 2025
831 words in the original blog post.
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Nov 21, 2025
1,038 words in the original blog post.
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Nov 20, 2025
913 words in the original blog post.
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Nov 17, 2025
1,586 words in the original blog post.
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Nov 13, 2025
1,018 words in the original blog post.
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Nov 13, 2025
655 words in the original blog post.
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Nov 10, 2025
749 words in the original blog post.
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Nov 05, 2025
1,717 words in the original blog post.