EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Jul 27·5 min read
On AI
TL;DR
Andreas Kling transitioned from traditional coding to using AI-assisted tools like GitHub Copilot and Claude, significantly enhancing his coding speed and efficiency. This shift illustrates the growing capabilities of AI in software development.
✦ Why It Matters
Experiment with AI tools like GitHub Copilot or Claude to enhance your coding workflow today.
Key Takeaways
- Experiment with AI-assisted coding tools to boost productivity.
- Engage with vintage computing to deepen programming skills.
- Balance personal projects with community contributions.
- Stay updated on AI advancements to remain competitive.
Full Summary
In 2019, Andreas Kling showcased his coding skills through live sessions while developing SerenityOS, initially relying on the auto-completion features of Qt Creator. By 2023, he adopted CLion with GitHub Copilot, which significantly enhanced his coding speed by generating entire functions based on his thought process.
The author, initially skeptical of AI, later explored tools like Claude and Ollama, discovering their potential in code generation and modification. This journey led to a deeper engagement with vintage computing, where the author created various applications for classic Macintosh systems.
However, the rise of AI-generated software has caused feelings of inadequacy and concern about the visibility of personal projects in a landscape dominated by rapid AI advancements. Ultimately, the author grapples with the balance between creating for personal satisfaction and the desire for community recognition.