Study Says AI Makes Developers Slower? F1 Movie Review, Coding and Testing for AI, Free Perplexity and Free Ideas
Boris Tane post on Cloudflare DOs + Drizzle - https://boristane.com/blog/durable-objects-database-per-user/
Experience with Claude Code - https://sankalp.bearblog.dev/my-claude-code-experience-after-2-weeks-of-usage/
Focus on inputs not outputs: https://john-rush.com/posts/ai-20250701.html
Emmett Shear’s Tweet Thread on AI use and speed - https://x.com/eshear/status/1944867426635800865
TLDR
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.
