Navigating the AI Coding Landscape: My Side Project Journey
Like many tech enthusiasts, I’ve faced challenges in juggling multiple projects on GitHub. The need to enhance my productivity has led me to explore AI coding agents as potential game-changers. My recent endeavors highlight the journey to achieve 10x or even 100x throughput, providing insights into the evolving intersection of human creativity and AI efficiency.
Key Insights:
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Experimentation with AI Agents:
- Tested multiple AI coding agents: Amp, Claude Code, and Gemini.
- Goal: Create a web app that notifies GitHub file changes in Slack.
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Diverse Outcomes:
- Amp: Good project structure but faced build errors.
- Claude Code: Gained a working web UI despite not following prompts closely.
- Gemini: Struggled with functionality and dependencies.
Navigating these challenges has illuminated the complexity of AI collaboration. As I aim to refine my approach, I invite fellow tech enthusiasts to share their experiences and insights. Let’s discuss! Share your thoughts below!
