Semantic decisions as ordinary Ruby #feels?, #decide, #score, Rails validations and pattern matching powered by Jev
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,146
MOST-STARRED Ruby
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
jev-feels gained 10 stars in the last 30 days, about 1 a day, and now has 18. It is about 1 year old and has averaged roughly 18 stars a year. It ranks #1,146 among Ruby repositories and #8,470 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#7055
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
jev-feels has maintained a continuous presence across global trending indexes, peaking at #7055. Below is the 30-day activity profile:
💡 Overview
jev-feels is an open-source project written in Ruby: Semantic decisions as ordinary Ruby #feels?, #decide, #score, Rails validations and pattern matching powered by Jev.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, jev, rails. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Ruby for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/Qew7/jev-feels.git
cd jev-feels⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Ruby >= 3.1 with Bundler
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
jev-feels coordinates its core functionality through a modular Ruby pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with jev-feels.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install jev-feels using your package manager: `git clone https://github.com/Qew7/jev-feels.git`
Initialize your project workspace or configuration file for jev-feels.
Import jev-feels into your codebase or invoke it directly from your terminal.
Execute your test suite or run `jev-feels --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Ruby, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Qew7/jev-feels is currently ranked #8,470 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,409 | zoompilot/jetlink | Swift | ★ 19 | Compare ↗ |
| #8,409 | ReffWu/toknotch | Swift | ★ 19 | Compare ↗ |
| #8,409 | charlie908/iPhone-Mirroring | Swift | ★ 19 | Compare ↗ |
| #8,409 | kieranklaassen/ruby_llm-typesafe | Ruby | ★ 19 | Compare ↗ |
| #8,409 | struffl/ishizuki | Swift | ★ 19 | Compare ↗ |
| #8,470 | Qew7/jev-feels This Project | Ruby | ★ 18 | |
| #8,470 | dustin/ruby-freebase | Ruby | ★ 18 | Compare ↗ |
| #8,470 | zapnap/database_form | Ruby | ★ 18 | Compare ↗ |
| #8,470 | jasherai/xss_terminate | Ruby | ★ 18 | Compare ↗ |
| #8,470 | markbates/cachetastic | Ruby | ★ 18 | Compare ↗ |
| #8,470 | darcy/acts_as_loggable | Ruby | ★ 18 | Compare ↗ |
Frequently Asked Questions
What does jev-feels do? +
Semantic decisions as ordinary Ruby #feels?, #decide, #score, Rails validations and pattern matching powered by Jev
What language is jev-feels written in? +
The primary language is Ruby. Topics include: ai, jev, rails, ruby, ruby-gem.
Is jev-feels actively maintained? +
Yes, the last recorded push was on Sep 22, 2026 with 0 open issues being tracked.
How many stars does jev-feels have? +
jev-feels has 18 stars and 1 forks on GitHub.
How does jev-feels rank among GitHub repositories? +
With 18 stars, Qew7/jev-feels is ranked #8,470 globally across all repositories tracked on GitHubRepo and #1,146 among Ruby projects.
What license is jev-feels distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
