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Emmett Shear’s Tweet Thread on AI use and speed - https://x.com/eshear/status/1944867426635800865

TLDR

The experience level of developers affects their efficiency with AI tools.
Proficiency in using AI coding agents requires practice and skill.
Co-locating tests with code can improve the development process.
Strict linting rules are essential for maintaining code quality.
Different coding tasks require different approaches to AI assistance.
The evolution of coding practices is influenced by new technologies.
Understanding the limitations of AI tools is crucial for effective use.
Developers need to adapt to new tools and workflows continuously.
The future of development will likely involve more AI integration. Claude Code/TUI offers flexibility for running various applications.
The evolution of coding agents is crucial for developers.
Metrics of success in AI should focus on efficiency and user satisfaction.
AI models should balance between asking questions and executing tasks.
Personal experiences shape our understanding of AI tools.
Innovations in coding tools can significantly enhance productivity.
The future of AI involves deeper human interaction and understanding.
Celebrating milestones is important for motivation and growth.
Development workflows are being transformed by AI capabilities.
Continuous learning and adaptation are key in the tech industry.

Study Says AI Makes Developers Slower? F1 Movie Review, Coding and Testing for AI, Free Perplexity and Free Ideas

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