Ellipsis bridges the gap between review and implementation. Most AI review tools identify issues and leave comments. Ellipsis goes further: it can read a reviewer's comment ("Make this variable const" or "Add input validation here") and automatically generate a commit with the fix. - Source: dev.to / 8 months ago

HA! Your LLM agents/prompts nailed a hilarious tone. For https://ellipsis.dev > This website looks like it was designed by someone who just discovered the concept of "AI" and decided to slap it all over a half-baked template. Your color scheme is about as inspiring as a Windows '95 screensaver, and your layout feels like it was put together by a kindergartner with a crayon and a... - Source: Hacker News / about 2 years ago

I was an early hire at a computational reproducibility startup for scientists [0]; The platform was basically a web-based frontend wrapped around a Docker container hosted on AWS, and the idea was that you'd put your code and data on the platform and have it be online-executable indefinitely, and you wouldn't have to worry about package updates, functions breaking, etc., because it was containerized. The... - Source: Hacker News / almost 3 years ago

It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products? It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean? https://github.com/allegroai/clearml https://codeocean.com/. - Source: Hacker News / over 4 years ago

Code ocean also exists for this purpose, though the number of compute hours is limited on free academic licenses. Source: almost 5 years ago