EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·6d ago·5 min read
Vibecoding isn't as fun as writing code by hand
TL;DR
Building software can be deeply satisfying, as experienced through two simple Python projects. However, while AI-assisted coding offers initial excitement, it ultimately lacks the joy of manual coding.
✦ Why It Matters
Prioritize personal coding projects to rediscover the joy of building software.
Key Takeaways
- Experiment with both AI tools and traditional coding methods.
- Reflect on the satisfaction derived from your coding projects.
- Prioritize projects that challenge your skills for deeper fulfillment.
- Balance quick wins with long-term learning and development.
Full Summary
The author reflects on the joy of building software, particularly through personal projects like Python scrapers that provided immense satisfaction. However, the advent of AI-assisted coding, termed vibecoding, has changed the experience.
While vibecoding allows for quick prototypes and instant gratification, it often lacks the deeper satisfaction derived from hard work and learning. The author notes that vibecoding can produce useful tools quickly, such as a wildfire early warning system and a pitch training app, but these projects do not provide the same sense of accomplishment as traditional coding.
The thrill of building something meaningful is diminished, leading to a feeling of detachment from the work. Ultimately, vibecoding may be productive but can leave developers feeling unfulfilled and disconnected from their creations.