Generative AI for Tools and Code
Tools and Code with Generative A.I.
Hey Guys,
While I don’t usually have time to read my A.I. peers and cohorts and their Newsletters I happend to catch a note from the Sequence I found pretty interesting:
Models such as OpenAI Codex, which is powering the ultra-popular GitHub Copilot, clearly demonstrated that the dreams of using AI for coding are within reach. While generating entire software applications just using natural language might still be years away, plenty of more targeted use cases can be implemented with today’s generative AI technology. One of those domains is the world of DevOps.
A few days ago, IBM and RedHat announced their collaboration in Project Wisdom, a framework that enables the creation of cloud automation scripts using natural language. Scripts are the cornerstone of DevOps platforms and an ideal candidate for generative AI models given its structure nature. Project Wisdom uses simple natural language instructions for generating YAML files for Ansible playbook, RedHat’s marquee cloud automation framework. While you still can’t provision an entire data center using Project Wisdom, users can certainly instruct simpler tasks such as installing dependencies, provisioning servers and scaling a specific application. Because it is coming from RedHat, we can expect Project Wisdom to be fully open-sourced upon its release. Project Wisdom is taking a pragmatic approach to bringing generative AI to the enterprise software space. IT automation is about to get a lot simpler with generative AI.
So I find this super interesting, the tools and code segments of David Song’s list is also catching my attention more as Generative AI hype ramps up.
David Song, a senior at Stanford University who is tracking the boom, has collated a list of over 143 generative AI startups.
Help Project Wisdom
Red Hat and IBM are training an AI model to infuse Ansible with new capabilities, and we’re looking for your help. Project Wisdom will make it easier for anyone to write Ansible Playbooks with AI-generated recommendations—think pair programming with an AI in the "navigator" seat.
But first, our AI needs to be fine-tuned on a diversity of real-world use cases, so we’re seeking testers to try it out (and maybe even break something).
If you want to try it and help go here.
So why is this interesting? While text-to image and text-to-video gets the hype, what’s happening under the hood could have more profound long-term impacts.
And I don’t mean Halloween celebrations.
Check out this Book on Generative AI and Python and Tensor Flow 2.
https://github.com/PacktPublishing/Hands-On-Generative-AI-with-Python-and-TensorFlow-2
What you will learn
Implement paired and unpaired style transfer with networks like StyleGAN
Use facial landmarks, autoencoders, and pix2pix GAN to create deepfakes
Build several text generation pipelines based on LSTMs, BERT, and GPT-2, learning how attention and transformers changed the NLP landscape
Compose music using LSTM models, simple generative adversarial networks, and the intricate MuseGAN
Train a deep learning agent to move through a simulated physical environment
Discover emerging applications of generative AI, such as folding proteins and creating videos from images
IBM have a paper on Investigating Explainability of Generative AI for Code through Scenario-based Design.
More lists on Generative AI
Tools and Resources for AI Art - A large list of Google Colab notebooks for generative AI, by @pharmapsychotic.
The Generative AI Application Landscape - An infographic that maps the generative AI ecosystem, by Sonya Huang of Sequioa Capital.
Startups - @builtwithgenai - An Airtable list by @builtwithgenai.
Awesome Generative AI on Github here.
The Generative AI Application Landscape
By Sequoia, Sonya Huang:
Let’s go back to David Song’s list though.
Let’s look at the Coding ones in reverse order: (it’s pointless to keep talking about GitHub Copilot when it’s Microsoft affiliated, there’s so much more out there:)
Moderne
Link: https://www.moderne.io/
Funding: $4.7 million
Pitch:
Safely modernize your source code.
Automated software refactoring to keep up-to-date with API changes, fix vulnerabilities, and improve code quality.
Durable
Link: https://durable.co/ai-website-builder
Funding: $1.5 million
Pitch:
Instantly build a website and find your first customer in minutes.
It's the fastest way to launch a business ever.
LinkedIn: https://www.linkedin.com/company/durableteam/
Enzyme
Link: https://enzyme.so/
Funding: Pre-seed: $120k
Pitch: Where No-code meets Web 3.
LinkedIn: https://www.linkedin.com/company/enzymehq/
Debuild
Link: https://debuild.app/
Funding: TBA, Seed private
Pitch: Code your Web app in seconds.
LinkedIn: https://www.linkedin.com/in/sharif-shameem/
Judging by the quality of these startups, I’m not sure the Generative AI coding startups are that legit. What do you think? This means there’s a place to create such startups here, it’s wide open. I’m not sure where Sequoia is pulling these names from. I’m a bit disappointed in the list so far, let’s go on:
Stenography
Link: https://stenography.dev/
Funding: Did not find
Pitch: Finally. Automated documentation.
LinkedIn: https://www.linkedin.com/company/stenography/
Mintlify
Link: https://mintlify.com/
Funding: Seed $2.8 million
Pitch: Beautiful documentation that converts users. Hate writing documentation? Save time and improve your codebase by letting Mintlify generate documentation for you.
LinkedIn: https://www.linkedin.com/company/mintsearch/
Others to check out:
Replit Ghostwriter
Mutable AI
Codiga
Tabnine
GitHub Copilot
Source: https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/
The breath of these Generative AI tools is what is going to get interesting.
Code Generation
Code Documentation
Text to SQL
Web app Builders
See the other “Tools” here.
Generative AI startups working on Code include at least:
Thanks for reading!
Thanks for reading and if you want to support the channel or the price of a cup of coffee, it goes a long way. We recently crossed 3,000 free readers, humble but I hope it’s informative. I’m learning and growing along with you here.