Connect. ◾️See when your fellow contributors are online and which repos, branches and files they are working on. Automated. ◾️Connect your issue tracker to share what issue you are working on based on your current branch.
Live. ◾️ See others' local changes in the gutter of your editor and get notified the moment you make a conflicting change. Patch. ◾️View diffs of other contributors' local files and cherry‑pick individual lines, files or complete working copies.
Codeshare. ◾️Make voice and video calls directly from your editor and codeshare to see each others cursors.
Agnostic. ◾️Edit together simultaneously, interoperable between VS Code and all JetBrains IDEs.
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Based on our record, AI Helper Bot should be more popular than GitLive. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are plenty of tools that have started popping up to try and improve this situation since last year. CodeTogether, Duckly, Code With Me, and GitLive to name a few. Source: over 3 years ago
GitLive. Extend your IDE with the real-time features remote development teams need to work together effectively. See what your teammates are working on and get notified of merge conflicts before you commit. Make video calls and code together live, VS Code to JetBrains. [GITLIVE]. - Source: dev.to / about 4 years ago
This is in no way an answer to your question but perhaps you would find git.live's merge conflict detection feature useful to potentially avoid the conflicts in the first place 😅. Source: about 4 years ago
One thing that keeps coming up is that SQL equals low productivity. I don't think this is true. I think the culprit is that most developers are using to heavily abstracting SQL using ORMs like Prisma that hides the database and SQL logic. Since building a SQL generator (https://aihelperbot.com) as a side project, I have become much more proficient in SQL and even though I am also locked into Prisma, I use the... - Source: Hacker News / over 1 year ago
A few things I have learned over the years and in particular launching and growing my latest project[1]: 1) Track everything including errors. Know what users are using and what they aren't. Remove or rebuild less used features. 2) Find out who your users are and what they value. Ignore non-payers. 3) Economize, market, and document features. You not only need to develop and deploy features, but also to price them... - Source: Hacker News / over 1 year ago
It started with me working on a hobby project, aihelperbot.com which enables users to generate SQL using AI. It was build using the comprehensive Prisma ORM. I always found Prisma bloated and it requires almost constantly that you lookup their API for even trivial usage. Source: almost 2 years ago
Sounds like a combination of an unpolished product with insufficient demand and wrong business model. Users today don't want to pay XXX up front for a complicated product, they want a free tier where they incrementally learn about features. I just looked up what I spend on Google Ads for a small campaign on SQL/AI related keywords for https://aihelperbot.com: - $699.95 (part of a spend $400 to get $400 deal) -... - Source: Hacker News / almost 2 years ago
Neat setup. Regarding the deploy script. I have just setup a separate VPS for proxying database queries using various Node database drivers for my own project[1] and only used Github Actions managing it[2]: - add build script using Github Action that fails the entire build pipeline if code doesn't build - add deploy script (essentially a few commands ssh into your VPS and pulling, install, building and restarting)... - Source: Hacker News / almost 2 years ago
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