Gemini Omni 1.2 Flash: Fast and cost-effective with longer clips
deepmind.google·7h ago
Cloud & Infrastructure
Google Cloud Blog·7h ago·5 min read
Building an agent skill optimizer with AlphaEvolve, Harbor and Gemini 4 Argon
TL;DR
An agent skill optimizer was developed using AlphaEvolve, Harbor, and Gemini 4 Argon to enhance coding agents' effectiveness. Initial tests showed a 5% improvement in task success rates after optimizing agent skills.
✦ Why It Matters
Start optimizing your coding agent skills today using AlphaEvolve for improved task success rates.
Key Takeaways
- Utilize AlphaEvolve to optimize agent skills iteratively.
- Run agents on real tasks to evaluate skill effectiveness.
- Focus on common failure points like timeouts for improvements.
- Plan for latency and log storage during long optimization searches.
How It Works
AlphaEvolve treats skills as programs, allowing Gemini to rewrite skill instructions based on evaluations from Harbor. Harbor runs agents on benchmark tasks, providing scores and feedback that guide the optimization process.