As a second order effect, the more we use tools like Freerange, the better the AI models become, because we’d feed it more correct code data & better reinforcement learning. What better to teach to AI, if not more practical maths?
https://github.com/chenglou/freerange Run it through your codebases and give some feedback!
Users are optimistic about the Freerange tool generating cleaner code data and enabling AI codebase rewrites because verification methods appear able to keep pace with exploding code volumes and may deliver positive surprises.
Based on 2 visible X reactions from 1 accounts; directional sample.
Ask a question below.
Published answers will appear here.
As the quantity of code explodes in the next few years, I hope the folks worrying about quality can rest assured that there’s evidence that our ability to verify even the most casual vibe code can keep up with the amount of slop Turns out that math was the ultimate spec
I invite you to re-examine your own domain carefully and see whether a tipping point is already here for you: how much of what we do, of our existing “best practice” patterns, should be rewritten to leverage a sufficiently smart coder? Ask your agent; you might be surprised!
As a second order effect, the more we use tools like Freerange, the better the AI models become, because we’d feed it more correct code data & better reinforcement learning. What better to teach to AI, if not more practical maths?
https://github.com/chenglou/freerange Run it through your codebases and give some feedback!
Users are optimistic about the Freerange tool generating cleaner code data and enabling AI codebase rewrites because verification methods appear able to keep pace with exploding code volumes and may deliver positive surprises.
Based on 2 visible X reactions from 1 accounts; directional sample.
Ask a question below.
Published answers will appear here.
