
OpenGrok
Sourcegraph
Atlassian Fisheye
Text Sherlock
Etsy Hound
Sourcebot
grep.app
Sourcegraph for GitHub
Captain Stack
GitHub Copilot
Tabnine
Amazon CodeWhisperer
Visual Studio IntelliCode
Codeium
GPT-Code-Clippy
Kite
OpenGrokBased on our record, Captain Stack seems to be more popular. It has been mentiond 2 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.
I caught up with Hieu Nguyen (@hieunc) of ishim, Rebit, Captain Stack, and more. He told me exactly how he made his first sale for ishim within five days of kicking off development, and another $1K+ within a month. Source: about 3 years ago
In fact, many have pointed out that Copilotโs process of looking up code based on its expected constraints is similar to one that a developer might experience by searching StackOverflow for code snippets. Funnily, some thought the idea so similar they decided to build an alternative VSCode plugin to Copilot that simply looks up StackOverflow answers as suggestions. - Source: dev.to / over 4 years ago
Sourcegraph - Sourcegraph is a free, self-hosted code search and intelligence server that helps developers find, review, understand, and debug code. Use it with any Git code host for teams from 1 to 10,000+.
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Atlassian Fisheye - With FishEye you can search code, visualize and report on activity and find for commits, files, revisions, or teammates across SVN, Git, Mercurial, CVS and Perforce.
Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
Text Sherlock - Provides a fast, easy to install and use search engine for text but, mostly for source code.
Amazon CodeWhisperer - Amazon CodeWhisperer is a machine learning (ML)โpowered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE).