eylonmiz

We will check the Cloudwatch integration, thanks!

Congratz on the launch! is it relevant for early-stage products with small teams or is it an overkill? we're just kicking our observability tools (Vercel, AWS - ECS infra)

Hey everyone, happy to be featured here and see your thoughts! I'm the original author, I was curious to find a way to generate production code with LLM, and I did find a path to this, it requires a lot of work and engineering, solving a complex problem by splitting it to multiple smaller ones that an LLM / LLM agent can take. IMO it is doable, but it requires a lot of work and potentially funding, so I left this project to do something fundable in this space :) I wish I could keep working on it full time, if anyone wants to help doing that, or ask anything, reach out!

I'm using AI assistant tools for coding for the past 3-4 years, for Tabnine to Copilot and ChatGPT. They all go on the auto-completion route, which is nice, but it goes as far as saving me 30% - 70% of the time, making me more productive, let's say I can do 2X instead of 1X. In my humble opinion, it is not enough. I think we are a few steps away from exponential growth in software development speed, but it will be powered by software agents. No linear growth, exponential one. They generate specs, read specs, do PRs, do architecture planning, test code, and search for new libraries and technologies. It won't be linear growth, with no man in the loop (maybe initially), this could lead to the read Extreme programming vision, but autonomous. I've been working on an open-source experiment/project (ReactAgent) doing that for limited spec, using GPT-4, generating React.js (frontend framework) from user stories of a product manager (that BTW, we're also been generated by ChatGPT). I would love to know what you think, or even talk about how you see the future of software development!

Repo: https://github.com/eylonmiz/react-agent

Haha we are all going to be replaced by AI / leverage it, so it better be open sourced!