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suboss87/FDEOps

Forward deployed engineering skills for AI coding agents.

JavaScript ◇ ai-agents MIT
★948STARS
⑂104FORKS
!0ISSUES
🏆#2,699GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for suboss87/FDEOps
CSV

Momentum

+24

STARS · LAST 30 DAYS

1

PER DAY

#173

MOST-STARRED JavaScript

Window7 days30 days90 days
Stars gained+7+24+90
Per day111
Forks gained+1+3+10

FDEOps gained 24 stars in the last 30 days, about 1 a day, and now has 948. It is about 1 year old and has averaged roughly 948 stars a year. It ranks #173 among JavaScript repositories and #2,699 across all languages on GitHubRepo.

Trending Record

FDEOps has maintained a continuous presence across global trending indexes, peaking at #357. Below is the 30-day activity profile:

💡 Overview

FDEOps is an open-source project written in JavaScript: Forward deployed engineering skills for AI coding agents.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, claude, claude-skills. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in JavaScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install FDEOps

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

FDEOps coordinates its core functionality through a modular JavaScript 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 FDEOps.

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

1

Install FDEOps using your package manager: `npm install FDEOps`

2

Initialize your project workspace or configuration file for FDEOps.

3

Import FDEOps into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `FDEOps --help` to verify successful setup.

👍 Strengths

Active community backing with 934 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in JavaScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with JavaScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
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👥 Who Should Use This

Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

suboss87/FDEOps is currently ranked #2,699 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,693 CurvineIO/curvine Rust ★ 953 Compare ↗
#2,695 zaproxy/zap-extensions HTML ★ 951 Compare ↗
#2,696 gkjohnson/three-bvh-csg JavaScript ★ 949 Compare ↗
#2,696 Mcrich23/Container-Compose Swift ★ 949 Compare ↗
#2,696 faisalkindi/DLSS5oneclick Rust ★ 949 Compare ↗
#2,699 suboss87/FDEOps This Project JavaScript ★ 948
#2,700 MyIntervals/emogrifier PHP ★ 947 Compare ↗
#2,700 NVIDIA/cudnn-frontend Python ★ 947 Compare ↗
#2,700 element-hq/element-x-ios Swift ★ 947 Compare ↗
#2,700 garrettfoster13/sccmhunter Python ★ 947 Compare ↗
#2,700 timsaya/luci-app-bandix JavaScript ★ 947 Compare ↗

Frequently Asked Questions

What does FDEOps do? +

Forward deployed engineering skills for AI coding agents.

What language is FDEOps written in? +

The primary language is JavaScript. Topics include: ai-agents, claude, claude-skills, codex, codex-skill.

Is FDEOps actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 0 open issues being tracked.

How many stars does FDEOps have? +

FDEOps has 948 stars and 104 forks on GitHub.

How does FDEOps rank among GitHub repositories? +

With 948 stars, suboss87/FDEOps is ranked #2,699 globally across all repositories tracked on GitHubRepo and #173 among JavaScript projects.

What license is FDEOps distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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