Software Alternatives & Startups

HumanLayer VS fd

Compare HumanLayer VS fd and see what are their differences

HumanLayer

Human-in-the-Loop infra for AI Agents

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Rating
0 reviews
fd

A simple, fast and user-friendly alternative to 'find'.

Rating
0 reviews
Pricing
Open source

Which is more popular?

Based on our record, fd seems to be a lot more popular than HumanLayer. While we know about 130 links to fd, we've tracked only 2 mentions of HumanLayer.

social mentions
2 vs 130
AI Agents popularity
100% vs 0%
alternatives listed
21 vs 72

Base details

Website, pricing, platforms and company facts side by side.

HL
HumanLayer
fd
Website humanlayer.dev github.com
Pricing —
Open source
Company — Startup from Germany
Listed in

Features and specs

What each product offers, as listed by its team.

HL
HumanLayer 5 features
fd 6 features
  • Human-in-the-loop for AI agents
    HumanLayer provides a structured framework for incorporating human oversight and approval into AI agent workflows, ensuring that critical or sensitive actions are reviewed by a human before execution. This reduces the risk of AI making costly or irreversible mistakes.
  • Easy integration with existing agent frameworks
    HumanLayer is designed to work with popular AI agent frameworks like LangChain, CrewAI, and others, making it relatively straightforward to add human approval gates to existing agent pipelines without major architectural changes.
  • Multi-channel contact support
    HumanLayer supports human approvals through multiple channels such as Slack and email, allowing teams to integrate approval workflows into communication tools they already use, reducing friction in the review process.
  • Granular control over approval workflows
    Developers can define specific function calls or actions that require human approval, allowing fine-grained control over which agent actions need oversight and which can proceed autonomously. This enables a balanced approach between automation and human control.
  • Open source core
    HumanLayer offers an open-source SDK, making it accessible for developers to inspect the code, contribute improvements, and customize the tool for their specific needs without vendor lock-in concerns.

Possible disadvantages

  • Added latency to agent workflows
    Requiring human approval introduces delays into AI agent pipelines, as the workflow must pause and wait for a human to review and respond. This can significantly slow down time-sensitive processes or reduce the efficiency gains that agents are meant to provide.
  • Relatively early-stage project
    HumanLayer is a relatively new and emerging tool in the AI agent ecosystem. This means the documentation, community support, and feature set may not be as mature or comprehensive as more established tools, and the API may undergo breaking changes.
  • Scalability challenges with human bottlenecks
    As AI agent usage scales up, the human approval step can become a bottleneck. If many agents or many actions require approval simultaneously, it can overwhelm human reviewers and create queues that defeat the purpose of automation.
  • Limited ecosystem and integrations
    While HumanLayer supports some popular agent frameworks and communication channels, the range of supported integrations is still growing. Teams using less common frameworks or communication tools may need to build custom integrations.
  • Dependency on external services for notifications
    Relying on Slack, email, or other external channels for approval notifications introduces dependencies on third-party services. If those services experience outages or message delivery delays, agent workflows can stall without clear fallback mechanisms.
  • Speed
    fd is optimized for speed and can outperform traditional tools like find due to its use of parallelism and optimized algorithms.
  • Ease of Use
    fd has a simpler and more user-friendly syntax compared to find, making it easier to learn and use.
  • Colorized Output
    fd provides colorized output by default, making it easier to differentiate between file types and enhancing readability.
  • Smart Case
    fd enables smart case detection by default, meaning searches are case-insensitive unless the pattern includes an uppercase letter.
  • Defaults to Ignoring Hidden Files
    By default, fd ignores hidden files and directories, as well as files specified in .gitignore, helping to narrow down search results to relevant files.
  • Cross-Platform Support
    fd supports multiple platforms including Linux, macOS, and Windows, making it versatile for different development environments.

Possible disadvantages

  • Dependency on Rust
    fd requires the Rust toolchain to build, which may be inconvenient for environments where installing additional dependencies is restricted.
  • Limited to Modern Features
    fd may not support some legacy systems and older versions of operating systems, limiting its applicability in certain scenarios.
  • Not as Feature-Rich
    While fd is easier to use, it doesn't have all the advanced features and fine-grained control options that find offers.
  • Compatibility
    fd’s simplified syntax and modern features may not be directly compatible with scripts or workflows that depend on find, requiring adjustments for integration.

Analysis

An editorial look at what each product does well and who it suits.

HL
HumanLayer
fd

Overall verdict

  • HumanLayer is a solid tool for teams building AI agents that need human oversight, offering a straightforward way to add human-in-the-loop approvals and interactions to autonomous workflows.

Why this product is good

  • Provides a purpose-built API and SDK for adding human approval steps to AI agent actions, reducing the risk of unsupervised automation.
  • Integrates with popular frameworks like LangChain, CrewAI, and custom agent setups, making it flexible for different tech stacks.
  • Supports multiple communication channels such as Slack, email, and web for routing approval requests to the right humans.
  • Enables safer deployment of AI agents that perform high-stakes or irreversible operations by keeping a human in the loop.
  • Developer-friendly with clear documentation and quick setup for common use cases.

Recommended for

  • Developers and teams building autonomous AI agents that require human approval for sensitive actions
  • Companies deploying LLM-powered automation in high-stakes domains like finance, healthcare, or operations
  • Startups experimenting with agentic workflows who want to add guardrails without building oversight infrastructure from scratch
  • Engineering teams using frameworks like LangChain or CrewAI that need human-in-the-loop capabilities

Overall verdict

  • Yes, fd (github.com) is generally considered good, particularly for its speed, ease of use, and modern features that enhance productivity over the traditional 'find' command.

Why this product is good

  • fd is a program for users who need a fast and user-friendly alternative to the traditional 'find' command. It provides a simple syntax, speed improvements by parallelizing search processes, ignores hidden files and directories by default, and offers colorized outputs, making it more intuitive and efficient for everyday use.

Recommended for

    fd is recommended for developers, system administrators, and power users who often search through directories and require a fast, efficient tool with a shorter learning curve.

Videos

Walkthroughs and reviews on video.

HL
HumanLayer 3 videos + Add
fd 3 videos + Add

HumanLayer (CodeLayer): The MOST PRODUCTIVE AI Coder YET!

More videos

  • - No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer
  • - How to Ship Complex Features 10x Faster with AI Agents | Dex Horthy (HumanLayer)

Discmania FD (Fairway Driver) Golf Disc Review

More videos

  • - Honda Civic FD | Review & Tips If you want to own one
  • - Regular Car Reviews: 1993 Mazda RX-7 FD

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
HL
HumanLayer
fd
100% 100%
0% 0%
8% 8%
92% 92%
100% 100%
AI
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using HumanLayer and fd. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

HL
HumanLayer 2 mentions
fd 130 mentions
  • Research Plan Implement — The Anti-Vibe-Coding Workflow
    Dex Horthy, CEO of HumanLayer, put a name to the pattern in his AI Engineer conference talk "No Vibes Allowed" (AI Engineer World's Fair, 2024). The Research → Plan → Implement (RPI) framework is a structured workflow for AI-assisted... - Source: dev.to / 7 months ago
  • How I Used RPI to Build an OpenClaw Alternative
    I realized I needed to change my approach. While I love the iterative learning process, I needed a way to give the agent a better foundation so our pair programming sessions actually made progress. I decided to try the RPI method... - Source: dev.to / 8 months ago
  • I Replaced a 461-Million-Downloads-a-Month Glob Package With One Rust File
    Fast-glob was the Package Killer target, but it was not the only comparison worth making. Developers often reach for fd or ripgrep when they need to locate files from a terminal. They are mature native tools with excellent defaults, so... - Source: dev.to / about 2 months ago
  • I wrote an bash enumerator because I was sick of xargs
    > Find works, but the syntax is arcane. Fd is a lifesaver: https://github.com/sharkdp/fd. - Source: Hacker News / 3 months ago
  • Biff is a command line datetime Swiss army knife
    I know that if you want `fd` (https://github.com/sharkdp/fd) you need to `apt install fd-find` and which installs the binary `fdfind` (!). - Source: Hacker News / 5 months ago

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Alternatives to HumanLayer and fd

When comparing HumanLayer and fd, you can also consider the following products.