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codeenlightener

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Unflattering reasons why I'm attracted to Effective Altruism

forum.effectivealtruism.org
1 points·by codeenlightener·il y a 4 ans·0 comments

Broodfunds

en.wikipedia.org
11 points·by codeenlightener·il y a 4 ans·0 comments

Show HN: AI that reads and explains complex code naturally, like a human

denigma.app
7 points·by codeenlightener·il y a 5 ans·7 comments

comments

codeenlightener
·il y a 4 ans·discuss
looks great, reminds me of our product, https://denigma.app that explains the business logic of code and technical concepts, which recently launched an extension for all Intelli-J based IDEs (except Android Studio- there's a compatibility issue with it)
codeenlightener
·il y a 4 ans·discuss
We have a product with a VS Code extension (IntelliJ and Chrome) coming soon that does this: https://denigma.app
codeenlightener
·il y a 4 ans·discuss
What are the operational costs of 70MR? What prevents you from scaling to zero employees?
codeenlightener
·il y a 4 ans·discuss
This is an exciting direction for AI code tools! I'm curious to see code review tools that give feedback on non-approved code to developers, which I think is the an important purpose of code review, to build a shared understanding of technical standards.

On a related note, I'm working on https://denigma.app, which is an AI that tries to explain code, giving a second opinion on what it looks like it does. One company said they found it useful for code review. Maybe just seeing how clear an AI explanation is is a decent metric of code quality.
codeenlightener
·il y a 5 ans·discuss
Hmmmm, if it's not "too long to fit on one line and so instead it's written as 12", what is "setLong(12)"?
codeenlightener
·il y a 5 ans·discuss
A self-hosted version will be developed, but it will likely take a few months at minimum.

The hardware requirements (GPU) might be hefty. I'll try to see if I can optimize the size of the model to something smaller.
codeenlightener
·il y a 5 ans·discuss
I encourage everyone to try it on real-world (non-esoteric, non-homework) code from production. That's where it works best. :-)
codeenlightener
·il y a 5 ans·discuss
Denigma works very poorly on short code– especially single lines. It warns you.

It is designed for explaining real-world code in context, and performs poorly on esoteric examples.
codeenlightener
·il y a 5 ans·discuss
Hello! I'm the founder of https://denigma.app, an AI that explains code. It's available now, with a free demo and VS Code extension, with an Emacs extension coming soon.

Denigma is a product that has been around for a while.

Denigma goes beyond a literal line by line explanation, and explains of programming concepts and deduces the business logic and goal of code.

I'm excited to see innovation in the field.

Here's a sample explanation from Denigma:

The code starts by initializing the trampoline. Then it checks to see if there is a passed_info structure in memory, and if so, copies the struct into the passed_info variable. Next, it sets up some variables for use later on:

- info_struct - The smp_information struct that will be used throughout this function

- longmode - Indicates whether or not we are running in 64 bit mode

- lv5 - Indicates whether or not we are running with L1V5 support enabled (if you're unsure what this means google "Intel VT-x" and "L1D cache")

- pagemap - The address of our page table entry array (this is where all of our virtual addresses go)

- x2apic - Indicates whether or not we are using an Intel X2APIC controller

The code is a function that is called when the kernel is booted. The function checks to see if the kernel was booted in long mode or not, and if it was, it sets up a trampoline to call the original kernel.

We're small, privacy-focused, and bootstrapped, and don't have the marketing budget of GitHub, so we'd appreciate you talking about Denigma in your communities.
codeenlightener
·il y a 5 ans·discuss
AI can also read code like a human: https://denigma.app
codeenlightener
·il y a 5 ans·discuss
Thanks, I will update our info to say "conversational English."

Can you explain what you mean by text layout? Do you want it justified? Formatted differently?

> What I think I would really, really want, is integration with VSCode/Sublime/etc. where the interpretations were interleaved within the actual source code and could be folded down. I would like to be able to correlate the source codes lines to the interpretations.

Cool idea. Something like Literate Programming, where the explanations are stored in the code file? Or more like a dynamic tool that just shows dynamically generated explanations inline?
codeenlightener
·il y a 5 ans·discuss
Which explanations did you like best? What about them impressed you?

I'll raise the rate limit to a very high amount in a moment!

> I am still not sure of the exact business case.

You ask a good question. I'm hoping HN helps figure that out! I think it can help Senior and Junior Developers to onboard to new codebases, especially those with new concepts.
codeenlightener
·il y a 5 ans·discuss
Hi HN! I created this to help decipher complex game engine logic. Instead of a literal translation, what it does is get at the core ideas in the code.

Programmers spend 30-90% of their time reading code. With Denigma, I hope to help programmers read unfamiliar code faster.

By accident, my alpha tester group was mainly kernel and embedded developers. Surprisingly, it works well and fairly accurately on most code in obscure domains like kernel and embedded.

When possible, it helps show what concepts are in the code. The AI model following was written to explain part of a kernel's boot process:

    - longmode - Indicates whether or not we are running in 64 bit mode
    - lv5 - Indicates whether or not we are running with L1V5 support enabled (if you're unsure what this means google "Intel VT-x" and "L1D cache")
    - pagemap - The address of our page table entry array (this is where all of our virtual addresses go)
    - x2apic - Indicates whether or not we are using an Intel X2APIC controller
It likes to explain business logic.

Here is part of an explanation of a C++ function, called "AttackSystem::update." The full code is next to "Focus on what's important." on the landing page, which uses two nested closures– quite complex.

    - Each attacker has an associated position and attack object which contains information about how much damage they have done to the victim so far (base_damages) as well as their cooldown timer (cooldown).
    - When an attacker's cooldown timer reaches zero they can no longer attack for another 8 frames.
    - If there are any victims then each one will be updated with their current health minus the amount of damage done by the attacker up until now (current).
    - This process repeats itself until either there are no more victims or there is only one left - when this happens then we know that our last victim was our enemy who attacked us!
Of course, AI isn't a silver bullet. It needs sufficient context cues– such as variable names. The variable names don't need to be perfect, however– it can work with and infer the meaning of vague, single-word names in legacy code.

I'm sure that if it can explain the code from the STIVALE2 boot protocol, it can explain simpler code!

There's also a second landing page for product managers: https://denigma.app/for-product-manager

Denigma isn't perfect. On code that occurs rarely in its dataset, its accuracy becomes questionable. Sometimes it takes 2-3 tries to get a good explanation. And it only understands some parts of the Linux kernel- and can't explain Verilog HDL at all. Over time with feedback, the model will get bigger and better.