I keep coming back to Amp Code (asadjb.com)

🤖 AI Summary
The author reflects on their experience with Amp Code, emphasizing a shift from using Claude Sonnet 4 to the more advanced Claude Opus 4.6 over the past months. Despite trying other AI models like Claude Code and OpenAI's Codex, the author finds themselves consistently drawn back to Amp for its superior user experience. Key features such as its usage-based billing model and a thoughtful design that encourages user interaction over simply delivering outputs enhance their coding workflow. This preference highlights the significance of user experience in AI-assisted software development, illustrating that functionality alone is not enough; how a model engages with developers can make a substantial difference. Amp's deliberate approach in curating its features, such as removing underperforming ones and optimizing the command interface, underscores a commitment to quality over quantity. As the demand for AI in coding continues to rise, the consistent appeal of Amp may set a benchmark for other AI tools, suggesting that user-centric design is crucial in the evolving landscape of AI/ML technologies.
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