KitanaQA
sourcegraph
Our great sponsors
KitanaQA | sourcegraph | |
---|---|---|
1 | 69 | |
57 | 9,726 | |
- | 2.3% | |
0.0 | 10.0 | |
9 months ago | 2 days ago | |
Python | Go | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
KitanaQA
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Ask HN: Who is hiring? (February 2021)
Searchable.ai | Full Stack Engineer | Full Time | Remote U.S.
We help our users find their stuff wherever it's stored as we build the future of enterprise search.
We are hiring a full-stack engineer with Rails experience to join our growing engineering team. Our stack includes: Rails, Electron, Webpack, PostgreSQL, Elasticsearch & Kubernetes.
This position will also have the opportunity to help integrate our research teams' SOTA work into our product to help users ask questions across their files (see: https://github.com/searchableai/kitanaqa).
Full description here: https://www.searchable.ai/full-stack-engineer/ and drop us a line at careers at searchable dot ai if you're interested!
sourcegraph
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Ask HN: Who is hiring? (March 2024)
Sourcegraph | REMOTE | Full-Time | Machine Learning Engineer, Developer Advocate, Enterprise Product Manager, Technical Advisor | https://sourcegraph.com
Sourcegraph is a code AI platform that makes it easy to read, write, and fix code–even in big, complex codebases.
We are building Cody, an AI coding assistant that uses code search and code intelligence to help devs quickly understand what's happening in code and generate new code that matches the best practices in your codebase. Cody supports AI-enabled autocompletion, fixing bugs, refactoring, test generation, code explanation, and answering high-level questions. You can read Steve Yegge's post on why Cody's code context engine differentiates it from the fast-moving field of AI dev tools: https://about.sourcegraph.com/blog/cheating-is-all-you-need.
Apply here: https://grnh.se/0572f98b4us
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Architecture.md (2021)
That's pretty much what https://sourcegraph.com/ are selling, is it not?
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Tell HN: GitHub is blocking search unless you are logged in
Despite their shitty rug-pull <https://github.com/sourcegraph/sourcegraph/pull/53345>, I do really like Sourcegraph and one doesn't (currently?!) need to be logged in to use it: https://sourcegraph.com/search and they have a handy rewrite pattern such that one can just plug the repo path into the URL for quick searching e.g. https://sourcegraph.com/github.com/JetBrains/intellij-commun...
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My 2024 AI Predictions
- https://sourcegraph.com is pivoting and building a copilot application (named Cody). This is pretty good, since sourcegraph is great at understanding your code
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The Curse of Docker
While a readable Dockerfile can work as documentation, there are a few caveats:
* the application needs to be designed to work outside containers (so, no hardcoded URLs, ports, or paths). Also, not directly related to containers, but it's nice if it can be easily compiled in most environments and not just on the base image.
* I still need a way to notify me of updates; if the Dockerfile just wgets a binary, this doesn't help me.
* The Dockerfiles need to be easy to find. Sourcegraph's don't seem to be referenced from the documentation, I had to look through their Github repos to find https://github.com/sourcegraph/sourcegraph/tree/main/docker-... (though most are bazel scripts instead of Dockerfiles, but serve the same purpose)
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Building Reddit’s Design System on iOS
We use Sourcegraph, which is a tool that searches through code in repositories. We leverage this tool in order to understand the adoption curve of our components across all of Reddit. We have a dashboard for each of the platforms to compare the inclusion of RPL components over legacy components. These insights are helpful for us to make informed decisions on how we continue to drive RPL adoption. We love seeing the green line go up and the red line go down!
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Launch HN: GitStart (YC S19) – Remote junior devs working on production PRs
SourceGraph: https://github.com/sourcegraph/sourcegraph/pulls?q=is%3Apr+a...
- Sourcegraph is no longer Open Source
What are some alternatives?
TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
opengrok - OpenGrok is a fast and usable source code search and cross reference engine, written in Java
FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model
tree-sitter - An incremental parsing system for programming tools
akvo-flow - A data collection and monitoring tool that works anywhere.
Code-Server - VS Code in the browser
ozone - Scalable, redundant, and distributed object store for Apache Hadoop
theia-apps - Theia applications examples - docker images, desktop apps, packagings
auto-attack - Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Vue Storefront - Alokai is a Frontend as a Service solution that simplifies composable commerce. It connects all the technologies needed to build and deploy fast & scalable ecommerce frontends. It guides merchants to deliver exceptional customer experiences quickly and easily.
eClaire - Trello card printer
Atheos - A self-hosted browser-based cloud IDE, updated from Codiad IDE