Why Devin does not use multi agents
Hosted by Jason Liu and Walden Yan
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What you'll learn
Multi-agent framework limitations
Students will identify why multi-agent LLM frameworks fail in practice.
Context engineering principles
Students will apply foundational context engineering techniques to improve single-agent LLM performance and reliability.
Alternative architecture strategies
Students will evaluate when to choose single-agent vs multi-agent approaches for different LLM application scenarios.
Why this topic matters
Multi-agent LLM frameworks promise coordinated AI systems but often deliver disappointing results in production.
Understanding why they fail—and mastering single-agent context engineering instead—will save you months of wasted development time. You'll learn to build more reliable, maintainable AI applications by choosing the right architectural approach from the start.
You'll learn from
Jason Liu
Consultant at the intersection of Information Retrieval and AI
Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library.
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Walden Yan
Co-founder & CPO @ Cognition
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