AI Engineer · Video summary
Context Is the New Code — Patrick Debois, Tessl
In this talk, Patrick Debois presents the concept that context is the new code, emphasizing the importance of creating, testing, and distributing context in the software development lifecycle, particularly when using AI coding agents. He advocates for a systematic approach to context development that involves generating reusable prompts, evaluating their effectiveness, and leveraging feedback to improve overall coding practices.
Watch on YouTube ↗Key takeaways
- The emergence of context packages and registries allows for the distribution of reusable context across projects, akin to software libraries.
- Context is the new code, emphasizing the need for a context development life cycle in software development, especially with AI coding agents.
- The process involves generating, testing, distributing, and observing context, creating a feedback loop that improves coding practices over time.
- Creating reusable prompts and integrating documentation from libraries can significantly enhance the effectiveness of AI coding agents in generating code.
- Testing context is essential; it should include evals to assess the impact of changes, similar to how we test code using unit tests.
- Start developing a context development life cycle in your projects to systematically generate and improve context for AI coding agents.
Chapters
- 0:07🎶 Introduction
- 0:50💡 Context as New Code
- 3:00🔄 Context Development Life Cycle
- 4:10📝 Generating Context
- 6:00🔍 Testing Context
- 14:00📦 Distributing Context
- 16:40🔒 Security and Context
- 17:54📊 Observing Context Usage
- 20:00🔄 Feedback Loops
- 22:24🛠️ Context Filters
- 24:06🔄 Iterative Improvement
- 25:20🤖 Conclusion
- 27:22❓ Q&A Session
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