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Efficient scaleups in 2024 vs 2021: Sourcegraph (with CEO & Co-founder Quinn Slack)
The Pragmatic Engineer
Revolutionize Tooling for AI Efficiency
The future of tooling will shift significantly due to AI becoming a primary user of these tools. Traditional tools were designed with human users in mind, emphasizing user interfaces and enterprise features, but the focus will now be on creating tools that deliver rapid performance and data processing suitable for AI needs. A prime example is the demand for a version of existing tools that excludes unnecessary features, instead offering quick access to performance and log data for AI consumption. The efficiency of build processes will significantly affect return on investment; with ambitious goals of achieving build times as low as 100 to 500 milliseconds, the potential for AI to rapidly test numerous code variations will emerge. This enhanced feedback mechanism, coupled with instant performance and security data, will enable AI to refine its iterations more effectively and successfully.
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