bloop VS Quarkus

https://github.com/BloopAI/bloop Is fully open source and has full text + regex search built on tantivy fyi

Thanks! Bloop really helped with the documentation! they index your code base and uses RAG locally to talk against it. It works shockingly well.

In this blog post, I’ll be comparing 3 distinct AI-first code search tools I recently came across: Cody (developed by late-stage startup, Sourcegraph), SeaGOAT (an open-source project that was trending on HN last week), and Bloop (an early-stage YC startup). I’ll be evaluating them along the dimensions of user-friendliness as well as their accuracy.

If you're confused about any of the code snippets above, you can check out bloop.ai and phind.com (along with its VSCode extension) to answer any of your questions about the repository, noting that both have free plans.

COMPANY: bloop (https://bloop.ai)

bloop (YC S21) | Rust AI Engineer | Onsite | London, UK

We're a YC + tier-1 VC backed startup, working on a AI chat assistant for software developers that can answer questions about any large codebase.

About you: you hack around with GPT on the weekend, maybe you even fine-tune some of these new open source models. But you're also a solid programmer, capable of not just prototyping a nice demo but also shipping performant code that can scale. You're probably quite good at what you do, maybe you were top of your class, or maybe you rose the ranks to your comfortable management role, but yearn for the days of writing code, redbull and deploying on a Friday.

We're a small team, looking for one individual to join us in London, in-person at least 3 days per week.

Please reach out to me at join [at] bloop [dot] ai with "HN AI Engineer" in the subject line and a note about why this is exciting and a link to your portfolio or linkedin/resume.

P.S. Our stack is Rust, so it's likely the role will go to a candidate with Rust experience but if you think you have something to offer that compensates for lack of Rust we should chat anyway!

https://github.com/BloopAI/bloop

Bro let me turn your life inside out: https://bloop.ai

Another example is Bloop, it is a code search engine built on top of tantivy and qdrant.

Bloop is a developer assistant that uses GPT-4 to answer questions about your codebase (https://github.com/BloopAI/bloop)

Meanwhile, if you're building something smaller than Netflix, I'm writing a book just for that (https://opinionatedlaunch.com/).

It's about mobile apps, but I talk about backend at great length, especially since my background is Java. The book is called "opinionated" because I cover Quarkus (https://quarkus.io/), monolith, Fly.io, and no K8s.

Quarkus is a Java based framework tailored for GraalVM and HotSpot, which results in an amazingly fast boot time while having an incredibly low memory footprint. It offers near instant scale up and high density memory utilization which can be very useful for container orchestration platforms like Kubernetes or Serverless runtimes like AWS Lambda.

Other useful articles related to Quarkus extension development can be found under the Writing Extensions guide category on the Quarkus.io website.

Quarkus is one of Java frameworks for microservices development and cloud-native deployment. It is developed as container-first stack and working with GraalVM and HotSpot virtual machines (VM).

If you GraalVM Native Image or one of the frameworks based on it then bootstrap cost disappears:

https://quarkus.io

We are open to practice using any open-source project, however, we want to set a sharp focus on projects maintained by the Red Hat, and our own projects in the Caravana Cloud organization on github. If there is no reason to do differently, we'll build using technologies such as OpenShift, Quarkus, Ansible and related projects.

The Quarkus you are talking about is this one? https://quarkus.io/