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If software development were a race, AI wins every time
We’ve undertaken experiments to explore the impact of GenAI tools on developer productivity, revealing a 37% improvement in productivity (speed), however, this result is a misrepresentation of what it means to be productive as a developer. This article delves more deeply, beyond punchy metrics, to explore the overall experience of working with these entirely new tools. We discuss where these tools are most effective, the challenge of quality code, the learning curve and much more.
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If software development were a race, AI wins every time
We’ve undertaken experiments to explore the impact of GenAI tools on developer productivity, revealing a 37% improvement in productivity (speed), however, this result is a misrepresentation of what it means to be productive as a developer. This article delves more deeply, beyond punchy metrics, to explore the overall experience of working with these entirely new tools. We discuss where these tools are most effective, the challenge of quality code, the learning curve and much more.
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If software development were a race, AI wins every time
We’ve undertaken experiments to explore the impact of GenAI tools on developer productivity, revealing a 37% improvement in productivity (speed), however, this result is a misrepresentation of what it means to be productive as a developer. This article delves more deeply, beyond punchy metrics, to explore the overall experience of working with these entirely new tools. We discuss where these tools are most effective, the challenge of quality code, the learning curve and much more.
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- og:descriptionWe’ve undertaken experiments to explore the impact of GenAI tools on developer productivity, revealing a 37% improvement in productivity (speed), however, this result is a misrepresentation of what it means to be productive as a developer. This article delves more deeply, beyond punchy metrics, to explore the overall experience of working with these entirely new tools. We discuss where these tools are most effective, the challenge of quality code, the learning curve and much more.
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