prompt-engineering VS jsoncrack.com

An agent is a style of prompt that lets LLMs act as reasoning engines. It's also known as the ReAct pattern (which engineers are avoiding using for namespace collision reasions).

You can read a good intro example here: https://github.com/brexhq/prompt-engineering#react

Well, if developers get replaced by AI, then who are the managers going to manage :). I personally don't think AI is just going to replace us. The way we work will continue to change as new AI tools come out. I'm taking time to tinker with new tools and seeing how others do as well (e.g., I found Brex's tips and tricks for working with LLMs very insightful: https://github.com/brexhq/prompt-engineering).

I recognize there's plenty of catnip here when it comes to calling this "engineering" or not, however, whatever you want to call it (prompt fiddling?), the techniques are crucial if you want to achieve reasonably consistent output from current-state LLMs. As models improve concerns about context window limitations will be reduced and it will be easier to discern user intent.

These are good straight-to-the-point guides:

- Prompt Engineering by BrexHQ: https://github.com/brexhq/prompt-engineering

- OpenAI guidance: https://help.openai.com/en/articles/6654000-best-practices-f...

- https://devblogs.microsoft.com/dotnet/gpt-prompt-engineering...

- (great examples): https://www.deeplearning.ai/short-courses/chatgpt-prompt-eng...

tl;dr:

Brex's Prompt Engineering Guide (https://github.com/brexhq/prompt-engineering)

They are used in Editor component. Part 4 explains about Editor component.

useGraph has a lot going on, but we will look for setGraph as this is the side effect performed in setJson explained above.

In this post, let's understand the editor's Panes component used in jsoncrack.com.

Open src/pages/editor.tsx in a new tab and let’s take the top down approach. Let’s first look into the components used.

Visit GitHub

https://github.com/AykutSarac/jsoncrack.com As far as I can see they don't use any package to visualize, but I also need that package, if you find it please let me know!

looks a lot like JSON Crack with added support for additional formats and not being open-source

As we've seen in this article, there are many different tools available to help us work with JSON data. From visualizing and exploring data with JSON Crack, formatting it with JSON Formatter & Validator, converting it to other formats like CSV with Konklone.io, and validating it against a schema with JSON Schema — these tools can help make working with JSON data much easier and more efficient.