EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 12·5 min read
Build Wide, Ship Narrow
TL;DR
Engineers can now build software more efficiently by leveraging AI tools that simplify coding and design processes, allowing for rapid iteration and easier code management. This shift enables teams to focus on building complete features before breaking them down into manageable parts.
✦ Why It Matters
Start using AI tools to generate code and streamline your development process today.
Key Takeaways
- Commit a spec before any code for novel designs.
- Build the entire feature before splitting into PRs.
- Demo working software before code reviews to gather feedback.
- Use AI to automate code generation and review processes.
How It Works
The methodology involves creating a complete feature first, using AI tools to generate code quickly. Once the feature is functional, it is then split into smaller, independently reviewable PRs.
This allows developers to make informed decisions about the structure based on the actual code, rather than assumptions made during planning.