Forem: Ryan Kopf

Why I love using Rust.

Ryan Kopf — Sat, 28 Mar 2026 05:03:08 +0000

The Case for Rust: Why I Choose Absolute Reliability for RPGFX and WebRaven

The transition from high-level, interpreted languages to Rust often feels less like a lateral move and more like a fundamental shift in how one perceives the act of creation. When building complex systems—whether that is the high-performance engine powering rpgfx.com or the scalable infrastructure behind webraven.com—the choice of language isn't just about syntax; it’s about the "contract" between the developer and the machine.

Rust offers a unique brand of confidence. It is a language that trades a steeper initial learning curve for a lifetime of stability. Here is an exploration of why Rust has become the gold standard for modern, mission-critical development.

1. The Architecture of Confidence: Making Errors Unrepresentable

In many languages, "defensive programming" is a manual chore. You check for null, you validate types at runtime, and you hope that your unit tests catch the edge cases. Rust flips this script through its type system.

The core philosophy of Rust is to make illegal states unrepresentable. By using Algebraic Data Types (Enums) and a sophisticated ownership model, you can design your logic so that a bug literally cannot be compiled.

Code Normalization vs. Database Normalization

There is a striking parallel between a well-architected Rust codebase and a Third Normal Form (3NF) database.

Database Normalization eliminates redundancy and ensures data integrity by structuring tables so that every non-key attribute is dependent on the key.
Rust Type Normalization ensures that your data structures cannot exist in a way that contradicts your business logic.

If you are building a website builder like webraven.com, you might have different states for a published site versus a draft. In other languages, you might use a status string and a nullable published_at date. In Rust, you use an Enum. You cannot accidentally access a published_at date for a draft because that field simply doesn't exist in the Draft variant of your Enum. This is "Type-Level Normalization."

2. The Refactoring Superpower: Rust Analyzer and VS Code

Refactoring is often the most terrifying part of a long-term project. In a large-scale RPG project like rpgfx.com, changing a core character attribute or a networking protocol could ripple through thousands of lines of code.

In a dynamic language, you change the name of a method and pray your grep caught every instance. In Rust, paired with Rust Analyzer in VS Code, refactoring becomes a conversation with the compiler.

"I Know What Will Break Before It Breaks"

The integration between the IDE and the compiler provides a "red squiggle" safety net that is unmatched. Because Rust understands the flow of data (lifetimes) and the requirements of every function, it identifies the downstream effects of a change instantly.

Rename Refactoring: Truly reliable across the entire crate. It doesn't just find text matches; it finds semantic symbols.
Type Inference: Rust Analyzer shows you the inferred types in real-time (Inlay Hints), meaning you never lose track of what a complex iterator is actually returning.
Exhaustiveness Checking: If you add a new feature to your game—say, a new "Magic" damage type—the compiler will immediately flag every single match statement in your engine that hasn't accounted for it yet.

This moves the "debugging phase" from production back to the editor. You don't "run it to see if it works"; you "fix the errors until it compiles," and then you know it works.

3. High Performance for RPG Engine Development (rpgfx.com)

Game development demands two things that usually oppose each other: high-level abstractions and low-level performance. Rust provides "Zero-Cost Abstractions."

For rpgfx.com, using Rust means we can write high-level game logic—handling inventory, quest states, and NPC AI—without paying a garbage collection tax. In a real-time game, a GC pause is a stutter that ruins immersion. Rust’s borrow checker manages memory at compile time, providing the speed of C++ with the safety of a managed language.

This means that as I work on my video game engine, I can focus on making things work rather than on debugging why things don't.

Why Memory Safety Matters in Gaming

Traditional game engines are notorious for memory leaks or "use-after-free" bugs (e.g., trying to access a player object after they’ve disconnected). Rust’s ownership rules make these bugs impossible. If a player object is dropped, no other part of the system can hold a dangling pointer to it. This prevents the "Heisenbugs" that typically plague game launches.

4. Scalability for Service Providers (webraven.com)

When building a service like webraven.com, reliability is the primary product. A website builder needs to be fast for the end-user and rock-solid for the creator.

Concurrency Without Fear

Rust’s most famous achievement is its ability to prevent data races. In a web server environment where thousands of users might be hitting a database or modifying site templates simultaneously, thread safety is paramount.

The Send and Sync traits in Rust ensure that data is only shared between threads when it is safe to do so. This allows WebRaven to utilize multi-core processing to its fullest extent without the risk of random crashes or data corruption that plagues other backend environments.

5. Technical Fact Sheet: The Rust Advantage

Feature	Impact on Development	Comparison
Borrow Checker	Eliminates Null Pointer Exceptions and Data Races.	Replaces manual memory management (C++) or GC (Java/Go).
Cargo	The gold standard of package managers; handles builds, docs, and tests.	Significantly more integrated than NPM or Pip.
Trait System	Allows for powerful code reuse without the pitfalls of inheritance.	More flexible than Java Interfaces; similar to Haskell Typeclasses.
Fearless Concurrency	Compile-time guarantees that threads won't stomp on each other's memory.	Prevents bugs that are traditionally "impossible to find."

6. The Long-Term ROI of the "Rust Way"

Choosing Rust is an investment in your "Future Self." While it may take longer to write the first version of a feature compared to a "quick and dirty" script, the total cost of ownership is drastically lower.

Lower Maintenance: Once the code is in production, it stays there. The lack of runtime crashes means "on-call" duty for services like WebRaven is significantly quieter.
Onboarding: While the language is deep, the strictness of the compiler means a new developer cannot easily break the existing system. The code is self-documenting through its types.
Ecosystem: The library ecosystem (Crates.io) is incredibly high quality, because the language forces library authors to be explicit about their error handling and data structures.

Summary

Whether it is the intricate, deterministic logic required for rpgfx.com or the high-availability demands of webraven.com, Rust provides a foundation that doesn't just support the code—it protects it. It is the only language that allows you to move fast without breaking things.

References & Technical Context:

The Rust Programming Language (The Book) - Klabnik & Nichols
Effective Rust - David Drysdale
Zero to Production in Rust - Luca Palmieri
Rust-Analyzer Documentation (LSP for VS Code)

Why Tracking Pain Matters: Launching Paindai for Chronic Pain Sufferers

Ryan Kopf — Fri, 15 Nov 2024 21:30:43 +0000

Title: Why Tracking Pain Matters: Launching Paindai for Chronic Pain Sufferers

Tomorrow, I’m launching Paindai, a pain journaling app, on ProductHunt. This project is deeply personal for me—it was inspired by my fiancée’s struggle with chronic pain and the challenges we faced navigating the healthcare system. Paindai is designed to help pain sufferers track their symptoms, advocate for themselves, and ultimately improve their healthcare outcomes.

In this post, I’ll share why tracking pain is so important, the ways doctors often misunderstand pain, and common causes of chronic pain that make tools like Paindai essential. I’ll also highlight the role Ruby on Rails played in making this app a reality.

Why Tracking Pain Helps

Chronic pain can feel chaotic, isolating, and overwhelming. Tracking pain is about more than creating a record; it’s a way to bring structure and clarity to something inherently unpredictable. For my fiancée, whose pain shifted daily—from aching joints to back pain that required pain gel—keeping track of everything was impossible without a system.

Here’s how tracking pain helps:

Identifying Patterns: Logging pain over time reveals patterns that might not be obvious otherwise. For example, you may discover that certain activities, foods, or times of day correlate with pain spikes. This empowers sufferers to make changes or adjustments that could reduce their pain.
Clearer Communication with Doctors: Pain is inherently subjective, and memory can be unreliable. Tracking pain creates a consistent, detailed record that helps patients communicate effectively with doctors. Instead of trying to recall how they’ve felt over the past month, they can share precise data on frequency, intensity, and duration.
Improved Advocacy: Chronic pain sufferers often face skepticism, particularly when their symptoms don’t fit neatly into a diagnostic box. A well-documented pain log provides evidence of what they’re experiencing, making it easier to advocate for themselves and push for appropriate care.
Mental and Emotional Relief: Chronic pain is more than physical—it’s emotionally taxing. Having a system to track and understand your pain can provide a sense of control, reducing anxiety and helping sufferers feel less helpless.

How Doctors Often Misunderstand Pain

Despite its prevalence, pain is one of the least understood aspects of healthcare. Chronic pain is especially challenging for doctors, as it often doesn’t show up clearly on imaging or lab tests. Here’s where misunderstandings frequently occur:

Overreliance on Objective Evidence: Many doctors focus on structural causes of pain, such as fractures or inflammation, which are visible in imaging. If nothing shows up, they may dismiss the pain as psychological, leaving patients feeling invalidated.
Bias in Diagnoses: Studies show that women, people of color, and younger patients are more likely to have their pain underestimated or dismissed. Women, in particular, often face skepticism and delays in diagnosis, with their pain attributed to stress or hormonal factors.
Misconceptions About Chronic Pain: Chronic pain isn’t just prolonged acute pain—it’s a complex condition often involving changes in the nervous system. Some doctors lack training in recognizing or treating chronic pain, leading to misdiagnoses or inadequate care.
Limited Appointment Time: In rushed appointments, doctors may miss the nuances of a patient’s symptoms. Without a detailed history, important information can fall through the cracks.

By providing a way for patients to log their pain systematically, Paindai bridges the gap between subjective experience and actionable data. It gives doctors a clearer picture and helps patients feel heard.

Common Causes of Chronic Pain

Chronic pain is incredibly diverse, with causes ranging from physical injuries to neurological conditions. Here are some of the most common categories:

Musculoskeletal Issues:
- Arthritis: Inflammation in the joints, as seen in osteoarthritis or rheumatoid arthritis.
- Fibromyalgia: A condition causing widespread pain, fatigue, and tenderness.
- Back and Neck Pain: Often due to herniated discs, spinal stenosis, or poor posture.
Neurological Conditions:
- Neuropathy: Nerve damage caused by injuries, diabetes, or conditions like carpal tunnel syndrome.
- Migraines: Severe headaches often accompanied by nausea or visual disturbances.
- Sciatica: Pain radiating from the lower back down the legs due to sciatic nerve compression.
Autoimmune Disorders:
- Lupus: An autoimmune disease causing pain, swelling, and inflammation.
- Multiple Sclerosis: A condition in which the immune system damages nerves, leading to chronic pain.
Inflammatory and Internal Conditions:
- Endometriosis: A condition where uterine-like tissue grows outside the uterus, causing severe pain.
- Crohn’s Disease: Chronic inflammation in the digestive tract, often accompanied by pain.
Centralized Pain Syndromes:
- Fibromyalgia: Believed to result from the central nervous system amplifying pain signals.
Injuries or Trauma:
- Chronic pain often lingers long after the initial injury heals, especially if nerves were damaged.

Each of these conditions is complex, and managing them often requires a multidisciplinary approach. Tracking pain with tools like Paindai can help patients and doctors identify triggers, monitor treatment efficacy, and collaborate more effectively.

The Role of Ruby on Rails in Building Paindai

As a seasoned Ruby on Rails developer, Rails was my framework of choice for building Paindai. It allowed me to quickly prototype and refine the app while maintaining the flexibility needed for future features like AI-driven insights. Here’s why Rails was the right choice:

Efficiency: Rails’ built-in tools for managing data, routing, and user authentication saved significant development time.
Maintainability: Rails’ convention-over-configuration approach ensures clean, structured code that’s easy to scale and maintain.
Flexibility for Features: Rails’ Active Record makes it easy to handle the relational data behind pain logs, while its JSON support lays the groundwork for upcoming AI analysis features.

Paindai also uses HTMX to create a seamless, interactive user experience for logging pain. With HTMX and Rails working together, I was able to keep the app lean while delivering dynamic functionality without requiring a heavy JavaScript framework.

Why Paindai Matters

For chronic pain sufferers, tools like Paindai aren’t just helpful—they’re essential. Pain is a deeply personal and often isolating experience, and the healthcare system doesn’t always make room for its complexity. By giving people a way to track, understand, and communicate their pain, Paindai empowers them to take control of their healthcare journey.

If you or someone you know struggles with chronic pain, I encourage you to try Paindai or join the conversation tomorrow on ProductHunt. Together, we can make a difference in how chronic pain is managed and understood.

Building Paindai: A Rails-Powered Pain Journaling App to Help Chronic Pain Patients Advocate for Themselves

Ryan Kopf — Fri, 15 Nov 2024 00:54:10 +0000

I'm launching my project, Paindai, a pain journaling app that helps people track and share their chronic pain symptoms with doctors, on ProductHunt this Saturday. This app is more than just a technical project; it’s a personal journey inspired by watching my fiancée struggle with chronic pain over the last few years. Here, I’ll share the story behind Paindai, its technical stack (Ruby on Rails, HTMX, Ubuntu, and AWS), and why I believe it’s a product with potential to help others in similar situations.

Why Build Paindai? The Challenge of Chronic Pain

My fiancée has been dealing with chronic pain for years, experiencing everything from aching joints and muscles to intense back pain that often required pain gel just to get through the day. Chronic pain is notoriously hard to pin down, and for her, symptoms shifted often and unpredictably. Recently, after years of advocating and navigating the healthcare system, she finally got a diagnosis of a CSF (cerebrospinal fluid) leak and deteriorating spinal discs. Having a clear answer was a relief, but the path to that diagnosis was exhausting and frustrating, especially when her pain symptoms varied day to day.

Many patients, particularly women, struggle with having their pain taken seriously. Studies have shown that women’s pain is often downplayed, leading to delayed diagnoses and inadequate treatment. Watching her experience this inspired me to develop Paindai—a tool that could help anyone struggling to communicate the complexity of their pain.

Enter Paindai: How It Works

Paindai is a Rails-based journaling app that lets users log pain events as they happen. It allows users to record not only the intensity and location of their pain but also time, context, and other relevant details. Over time, Paindai gives users a complete history of their pain, which they can share with doctors, making it easier to track patterns, identify triggers, and improve their medical care.

With chronic pain, data is power. Having detailed records helps people advocate for themselves, providing hard evidence for patterns and severity that might otherwise be lost. The app is free to use, though I also have a paid version to support hosting and development costs, as well as to support future feature additions, including AI-powered insights for potential diagnoses and treatment recommendations.

The Tech Stack: Rails, HTMX, and Full-Stack Development

Building Paindai meant combining a stable, versatile back-end with a front-end that could support dynamic, interactive logging without requiring a massive framework. Rails was the natural choice for a backend with strong data handling capabilities and easy integration with the various tools Paindai needed.

Ruby on Rails

Having used Ruby on Rails for over a decade, I knew I could leverage its strengths in structuring a clean, maintainable app. Paindai is built with a standard Rails setup but leans heavily into customization to suit the unique requirements of chronic pain tracking. For example, I wanted to make it easy for users to add a new pain entry without reloading the page, a feature that can get clunky if not handled well.

HTMX for Interactive Pain Tracking

For the front end, I chose to use HTMX, which allowed me to inject interactivity into the app without the need for a heavyweight framework like React or Vue. HTMX lets you use simple HTML attributes to load content dynamically, and it was a perfect fit for Paindai’s pain logging feature. By using HTMX, I could create an experience where users can add or update pain entries seamlessly, without page reloads.

Using HTMX with Rails, I could manage form submission and data updates on the back end while delivering a smooth, single-page experience on the front end. It also allowed me to keep the codebase lean and avoid the overhead of managing a large client-side JavaScript framework, which I wanted to avoid for the sake of simplicity and maintainability.

Deployment on Ubuntu and AWS

Paindai is hosted on AWS, with an Ubuntu instance providing a reliable environment for Rails and background job processing with Delayed Job. The choice of Ubuntu made sense for its familiarity and robust support for server-side Rails applications, and AWS was ideal for its scalability and reliable infrastructure.

Deploying Paindai on AWS was a straightforward process thanks to its flexible server setup. I’m using Nginx as a web server and PostgreSQL for the database, which is well-suited for handling the relational data that comes with tracking pain over time. I set up SSL with manual DNS configuration, as I prefer to have control over my domain without installing unnecessary dependencies.

Background Jobs and Notifications

For background processing, I’m using Delayed Job rather than Sidekiq, as it integrates smoothly with the rest of the Rails stack and is more lightweight for my current needs. I implemented background jobs to handle data-intensive tasks, such as generating user reports or preparing insights based on pain entries.

One feature in progress is a notification system that will remind users to log their pain if they haven’t for a few days, or even provide encouragement if they’ve logged frequently. This is intended to improve user engagement and create a helpful feedback loop for people managing their chronic pain.

Building AI-Driven Insights

One of Paindai’s future goals is to incorporate AI-driven insights. In our experience, having even a rough sense of which specialists to consult based on symptoms was incredibly valuable, and I’d like to make that feature available to Paindai users. The AI functionality I envision will analyze users' pain entries and offer suggestions on what kinds of doctors or treatments they might consider, based on common correlations or existing research.

This is where Ruby and Rails come in handy once again. Rails’ Active Record makes it simple to handle structured data, and by converting pain logs to JSON format, I can prepare this data for AI analysis without overcomplicating the database schema. Once this feature is fully built out, I hope it can give users a proactive tool in managing their care.

Launching on ProductHunt and Building an Audience

ProductHunt has become the go-to for launching Paindai. I’m hoping that the community there will see the value in what Paindai is doing. In preparation, I’ve been promoting it everywhere I can—on Dev.to, Medium, Twitter, and through blogging. For anyone who’s launched on ProductHunt before, I’d love to hear what strategies worked best for you. Did Twitter drives make a difference? Did a particular blog post take off?

Looking Ahead: Why Paindai Matters

Paindai isn’t just a tech project; it’s a tool to help people manage an overwhelming part of their lives. Chronic pain affects millions and can be incredibly isolating. It’s easy to feel overlooked in a healthcare system that doesn’t always validate subjective pain. With Paindai, my hope is to give people a tool to be better advocates for themselves. Tracking pain may seem simple, but it has profound benefits for health outcomes. It empowers patients to take control, communicate clearly, and potentially unlock treatments they didn’t even realize were an option.

If you or someone you know could benefit from a tool like Paindai, I invite you to check it out on ProductHunt or visit Paindai.com.

Rust ESP32 Code - Windows Dev - ESP32-WROVER-DEV

Ryan Kopf — Fri, 15 Mar 2024 03:16:24 +0000

First, set everything up.

Install VS Code
Install Extensions: Rust Analyzer, Even Better TOML

Run some commands:

cargo install espup
espup install
C:/Users/YourUsername/export-esp.ps1

Note: The esp installer may say you don't need to set these environment variables. However this is often WRONG!

Here is code to blink the onboard LED of the ESP32-WROVER-DEV board!

#![no_std]
#![no_main]

use esp_backtrace as _;
use esp_hal::{clock::ClockControl, IO, peripherals::Peripherals, prelude::*, Delay};
use esp_println::println;

#[entry]
fn main() -> ! {
    let peripherals = Peripherals::take();
    let system = peripherals.SYSTEM.split();

    let clocks = ClockControl::max(system.clock_control).freeze();
    let mut delay = Delay::new(&clocks);

    // let io = peripherals.IO.split();
    // let io = peripherals.GPIO.p
    let io = IO::new(peripherals.GPIO, peripherals.IO_MUX);
    let mut led = io.pins.gpio2.into_push_pull_output();

    println!("Hello world!");
    loop {
        println!("Loop...");
        delay.delay_ms(500u32);

        led.set_high().unwrap(); // Turn the LED on
        delay.delay_ms(500u32); // Wait for 500 milliseconds

        led.set_low().unwrap(); // Turn the LED off
        delay.delay_ms(500u32); // Wait for 500 milliseconds
    }
}