Podcast lesson
AI Engineer
Anthropic Workshop: Build Agents That Run for Hours — Ash Prabaker & Andrew Wilson
Discover how Anthropic's AI engineers are revolutionizing the development of long-running AI agents capable of operating for hours or even days. This lesson explores the evolution of AI models, the challenges of context management, and the innovative harness designs that enable autonomous work. By the end, you'll understand how to leverage these advancements to create more efficient and reliable AI systems.
Key takeaways
- Understand the Evolution: Learn how AI models have progressed from running for 20 minutes to days, with Claude Code now writing most of its own code.
- Tackle Context Challenges: Explore the issues of context windows, context rot, and context anxiety that affect long-running agents.
- Enhance Planning Abilities: Discover why models struggle with planning and how new techniques improve their judgment of output.
- Innovate with Harness Design: See how changes to the harness, such as the Agent SDK, enhance model performance.
- Embrace Co-Evolution: Understand how models and harnesses evolve together, improving over time with each release.
- Implement Adversarial Evaluation: Learn about the GAN-inspired approach to improve model output through adversarial pressure.
- Design with Taste: Explore how to imbue AI models with design taste and the importance of a strong rubric.
- Optimize with Planning: Discover the role of a planner in breaking down tasks into manageable sprints.
- Adapt to Model Improvements: Learn how to adjust harness designs as models improve, focusing on filling gaps in model capabilities.
FAQ
What is "Anthropic Workshop: Build Agents That Run for Hours — Ash Prabaker & Andrew Wilson" about?
Discover how Anthropic's AI engineers are revolutionizing the development of long-running AI agents capable of operating for hours or even days. This lesson explores the evolution of AI models, the challenges of context management, and the innovative harness designs that enable autonomous work. By the end, you'll…
What are the key takeaways from AI Engineer: Anthropic Workshop: Build Agents That Run for Hours — Ash Prabaker & Andrew Wilson?
Key takeaways: Understand the Evolution: Learn how AI models have progressed from running for 20 minutes to days, with Claude Code now writing most of its own code.; Tackle Context Challenges: Explore the issues of context windows, context rot, and context anxiety that affect long-running agents.; Enhance Planning…
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