From Prompt Engineering to Flow Engineering: Moving Closer to System 2 Thinking
A Talk by Itamar Friedman (CEO, Qodo)
About this Talk
This presentation explores the transition from prompt engineering to flow engineering as a necessary evolution in AI's cognitive capabilities. While early LLMs like GPT-4 operate largely through fast, intuitive responses akin to System 1 thinking, newer models such as OpenAI’s o1 aim to embody aspects of System 2 thinking—characterized by deeper, more deliberate reasoning processes.
We will explore how flow engineering frameworks can enhance AI performance by guiding models through iterative reasoning, validation, and test-driven workflows. This structured approach pushes LLMs beyond surface-level problem-solving, fostering more thoughtful, strategic decision-making. The presentation will show how these advancements improve coding performance on complex tasks, moving AI closer to robust and autonomous problem-solving systems.
Key Takeaways
- Understanding of test-driven flow engineering to help LLMs approach System 2 thinking
- Assessing how well models like o1 tackle complex coding tasks and reasoning capabilities
- The next generation of intelligent software development will be multi-agentic AI solutions capable of tackling complex challenges with logic, reasoning and deliberate problem solving
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