Software Alternatives, Accelerators & Startups

Trag VS Kubeless

Compare Trag VS Kubeless and see what are their differences

Trag logo Trag

Review your PR in minutes, not days.

Kubeless logo Kubeless

Kubernetes native serverless framework
  • Trag User dashboard
    User dashboard //
    2024-05-03

Trag is an AI code review tool which helps to make code review process faster and save senior engineers time by giving them already ai pre-reviewed code.

  • Kubeless Landing page
    Landing page //
    2023-09-16

Trag videos

No Trag videos yet. You could help us improve this page by suggesting one.

Add video

Kubeless videos

Serverless on Kubernetes with Kubeless

More videos:

  • Review - Serverless with Kubeless - usecase in Outfittery - Andrei Chernyshev
  • Review - Event-based processing with Cloudserver and Kubeless

Category Popularity

0-100% (relative to Trag and Kubeless)
Developer Tools
25 25%
75% 75
Pull Requests
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Code Review
100 100%
0% 0

Questions and Answers

As answered by people managing Trag and Kubeless.

Which are the primary technologies used for building your product?

Trag's answer

Static code analysis and LLMs

How would you describe your primary audience?

Trag's answer

Software engineers.

What's the story behind your product?

Trag's answer

Trag ancestor was design system analytics tool which allowed companies to solve small part of their technical debt. Trag is going to become a "software maintenance on autopilot" tool.

What makes your product unique?

Trag's answer

Trag helps to pre-review code and find bugs before sending it to code review.

Why should a person choose your product over its competitors?

Trag's answer

Trag enable users to customize their code review process based on company culture.

User comments

Share your experience with using Trag and Kubeless. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Kubeless seems to be more popular. It has been mentiond 4 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.

Trag mentions (0)

We have not tracked any mentions of Trag yet. Tracking of Trag recommendations started around May 2024.

Kubeless mentions (4)

  • Ask HN: Self-Hosted Serverless Solution?
    You can run kubeless on top of a self hosted Kubernetes cluster: https://kubeless.io/. - Source: Hacker News / over 2 years ago
  • Docker container sleep if not being used....
    It sounds like you want to run your containers on a serverless platform. You would need Kubernetes to use these but check out Kubeless or Knative. They both have the ability to scale your containers down to zero when not in use and then spin them back up when a request comes in. Source: over 2 years ago
  • From Monolith to Microservices and Beyond
    Serverless computing comes into play with the promise of freeing teams from having to deal with operational tasks. The general idea with Serverless computing is to be able to provide the service code, together with some minimal configuration, and the provider will take care of the operational aspects. Most cloud providers have serverless offerings and there are also serverless options on top of Kubernetes that use... - Source: dev.to / over 2 years ago
  • My Attempt at Serverless React
    Right now I'm considering Kubeless as an alternative for OpenFaas for the following reasons:. - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing Trag and Kubeless, you can also consider the following products

Codeium - Free AI-powered code completion for *everyone*, *everywhere*

Gitkube - Build and deploy docker images to Kubernetes using git push.

Reviewable - GitHub code review platform.

LastBackend - Lightweight Kubernetes replacement

CodeRabbit - Unleash AI on Your Code Reviews with CodeRabbit

Supergiant.io - A datacenter management system built on Kubernetes