Build an AI Coding Language: My Journey Creating a DSL Parser (Strawberry)
In this video, I explore creating a domain-specific language (DSL) for AI pair programmers using the OpenAI Strawberry model. Watch as I demonstrate my AI workflow designer and compare internal and external DSLs.
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In this video, I share my journey of creating a domain-specific language (DSL) parser for AI programming languages, using OpenAI's Strawberry model. I walk through the challenges and lessons learned in building a DSL tailored for AI pair programmers, focusing on how the Strawberry model helps in parsing and generating code. You’ll see an in-depth exploration of parsing rules, handling parameters, and converting DSL into usable formats like JSON. Finally, I showcase improvements in the DSL’s structure and functionality, highlighting how Strawberry enhances the development process and code efficiency.
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Chapters:
0:00 AI Code Language Ideas
1:07 Coding Languages powered by LLMs
2:18 DSL Engine Requirements
2:45 Feed Requirements into Strawberry
3:04 Chain of Thought: Strawberry Evaluation
5:42 Strawberry vs GPT-4o Comparison
6:53 Can 1 Prompt to Build a DSL Coding Language?
9:01 Evaluate the CoT
10:19 Evaluate the Response
13:07 Code for Tokenization & Parsing
17:48 Add Code & Documentation to our Project
18:18 Get the Project on GitHub
18:58 Project Planning - DrawIO DSL
19:18 Next Steps & Conclusion
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