@robertputneydrake
I shit you not, 2 months ago I had the idea of using Abstract Syntax Trees and Control Flow Diagrams as part of advanced RAG mechanisms as an element to bring codegen based on whole repositories to the next level.
@maof77
This guy is awesome. He explains advanced code and ideas so nicely and easy to understand 👍👍👍
@TimKitchens7
Really awesome concept and presentation Lance! I'm really intrigued by all the work that's going into solving the code generation problem. I hear a lot of people dismissing the notion that AI will be able to generate more than a few lines of simple code at a time any time soon. They're typically thinking of LLM limitations. While this concept obviously doesn't quite get us to the "full-blown, complex app" level, it definitely shows that progress is being made, despite limitations of current LLMs. Nice work!
@chrisogonas
Incredible! I see several practical use cases. Thanks
@TraderE-fl2zm
Watching these its hard not to get lost in the potentials. Thanks for sharing. Putting time in learning more and practicing some concepts. Fun to brainstorm potentials and I learn a little more each video.
@RobertoMartin1
Pretty nice, seems like this is just doing what we'd manually do when using chatgpt interface. Would love to see more examples, maybe around other verticals like text-to-sql, like how do you automatically validate that and something general like chatbots solving a problem like writing a blogpost
@peterchristensen330
A really nice presentation - thanks for sharing !
@perrygoldman612
This is a briliant idea. The only problem is that this coding assistant will probably backrupt my open ai account if the iteration runs more than 3 times, which is more likely to happen in real case....
@ibbbyscode
Thanks Lance. Amazing tutorial!
@wSevenDays
Thank you very much!! I appreciate your work on this topic with advanced flows and langchain
@kishorkukreja7733
Very informative and useful. Would appreciate if you can do a video on Langraph with a sql/graph db chain as the nodes. Thanks !
@proteusnet
Really cool, thanks for sharing!
@youngzproduction7498
LangGraph is now on fire!
@dv_interval42
Would be nice to compare results w/ various foundational models. I'm assuming an obvious case here is using a crappier but cheaper model eating the cost of multiple inference runs to get a potentially better result compared to less runs from a more expensive model.
@PrashantSaikia
Great! Do you have any example notebook showing how to use Langgraph for code generation in an external compiler language? Like, C for example - how do you replace the "exec" command (which is for Python code only, an "internal" compiler), and replace it with something that can call the C compiler, run it against the generated (and saved) code file, collect the compiler errors, put them back into the langgraph flow in the relevant node, and so on.
@AnilUttani
Thank you for the amazing tutorial , can u also share the Notion note that you are using at the beginning of the video.
@mohamedfouad1309
Is there some network visualization thing for this???
@Jakolo121
Thanks for this video❤
@jonclement
Great job. I'd prob name the state nodes as 'node_generate' though and edge_check_code_imports.
@Slimshady68356