Rust Concepts: Macros, Modules, Testing & Unsafe Rust (Part 3)
via DEV Community: rust (author: mihir mohapatra)
via DEV Community: rust (author: mihir mohapatra)
Telegraph
Rust Concepts: Macros, Modules, Testing & Unsafe Rust (Part …
This is Part 3 of the Core Rust Concepts series. Part 1 — Ownership, Borrowing, Lifetimes, Traits, Result/Option, Pattern Matching Part 2 — Closures, Iterators, Generics, Enums, Smart Pointers, Async/Await Table of Contents Macros Modules & the Cargo Ecosystem…
I Built a Next-Gen DNS Diagnostic CLI in Rust That Visualizes DNSSEC Trust Chains
via DEV Community: rust (author: kent-tokyo)
via DEV Community: rust (author: kent-tokyo)
Telegraph
I Built a Next-Gen DNS Diagnostic CLI in Rust That Visualize…
If you've ever tried to debug a DNSSEC misconfiguration using dig, you know the pain. You're staring at a wall of raw text, manually cross-referencing DS records against DNSKEY records, tracing through TLD delegations one query at a time. It works — but it's…
Rust Concepts: Macros, Modules, Testing & Unsafe Rust (Part 3)
via DEV Community: rust (author: mihir mohapatra)
via DEV Community: rust (author: mihir mohapatra)
Telegraph
Rust Concepts: Macros, Modules, Testing & Unsafe Rust (Part …
This is Part 3 of the Core Rust Concepts series. Part 1 — Ownership, Borrowing, Lifetimes, Traits, Result/Option, Pattern Matching Part 2 — Closures, Iterators, Generics, Enums, Smart Pointers, Async/Await Table of Contents Macros Modules & the Cargo Ecosystem…
I Just Wanted to Reuse Async Functions in Rust. I Ended Up Building a Tiny Task Manager
via DEV Community: rust (author: icsboyx)
via DEV Community: rust (author: icsboyx)
Telegraph
I Just Wanted to Reuse Async Functions in Rust. I Ended Up B…
I Just Wanted to Reuse Async Functions in Rust. I Ended Up Building a Tiny Task Manager I am currently studying Rust, and one of the things that kept bothering me was surprisingly simple: How do I reuse an async function more than once in a clean way? At…
Web Developer Travis McCracken on Rate Limiting at the Edge: A Backend Strategy
via DEV Community: rust (author: Travis McCracken Web Developer)
via DEV Community: rust (author: Travis McCracken Web Developer)
Telegraph
Web Developer Travis McCracken on Rate Limiting at the Edge:…
Harnessing Power with Rust and Go: A backend developer's journey Hello, fellow developers! I’m Web Developer Travis McCracken, and today I want to share some insights into my work with backend development, especially with two of the most exciting programming…
Ditching Geo-Restrictions in Crypto Stores is Harder Than It Looks
via DEV Community: rust (author: pretty ncube)
via DEV Community: rust (author: pretty ncube)
Telegraph
Ditching Geo-Restrictions in Crypto Stores is Harder Than It…
The Problem We Were Actually Solving I still remember the day I was tasked with setting up an admin dashboard for our crypto digital store. The catch - we were operating in a country with strict financial regulations, which made it impossible to use conventional…
Building a native terminal for AI coding agents in Rust + GPUI
via DEV Community: rust (author: Arthur Jean)
via DEV Community: rust (author: Arthur Jean)
Telegraph
Building a native terminal for AI coding agents in Rust + GP…
Author: Arthur Jean, solo indie maker. More on paneflow.dev and arthurjean.com.Repo: github.com/ArthurDEV44/paneflow. MIT licensed. I spend my days running Claude Code, Codex, and OpenCode in parallel panes. Different agents on different branches, each with…
The Day Our Payment System Died at 3 AM From a False Positive in a Blacklist
via DEV Community: rust (author: pretty ncube)
via DEV Community: rust (author: pretty ncube)
Telegraph
The Day Our Payment System Died at 3 AM From a False Positiv…
The Problem We Were Actually Solving In 2023 we launched a SaaS tool for performance engineers. Nothing fancy—just a low-latency endpoint profiler that ingests traces and returns flamegraphs with flamegraph.js. We didnt need Stripes UI. We needed a way to…
Claude returned ```json blocks 14% of the time. Here is the Rust crate I wish I had earlier.
via DEV Community: rust (author: Mukunda Rao Katta)
via DEV Community: rust (author: Mukunda Rao Katta)
Telegraph
Claude returned ```json blocks 14% of the time. Here is the …
I had a system prompt that ended with: Reply with only a JSON object. Do not include code fences. Do not include explanation. That should be enough. It is not. Over a week of structured-output calls (12,400 of them, mostly Claude Sonnet 4.5 and 4.7), I logged…
Our retry loop made an outage worse. The circuit breaker stopped the cascade.
via DEV Community: rust (author: Mukunda Rao Katta)
via DEV Community: rust (author: Mukunda Rao Katta)
Telegraph
Our retry loop made an outage worse. The circuit breaker sto…
A few weeks back there was a 22-minute window where Anthropic returned a high rate of 5xx responses. Not a full outage. Degraded. Our agent service had a retry policy that backed off and tried again on 5xx. With six workers and a shared retry budget that…
The Day Our Latency Shot Up When the Runtime Decided to GC
via DEV Community: rust (author: pretty ncube)
via DEV Community: rust (author: pretty ncube)
Telegraph
The Day Our Latency Shot Up When the Runtime Decided to GC
The Problem We Were Actually Solving We needed a way to move money out of countries where PayPal, Stripe, and Gumroad had no footprint. Our micro-payment layer already integrated with local aggregators—EasyPaisa in Pakistan, bKash in Bangladesh, Flutterwave…
Chat With Your Documents Using Garudust Agent — No Vector Database Required
via DEV Community: rust (author: Garudust)
via DEV Community: rust (author: Garudust)
Telegraph
Chat With Your Documents Using Garudust Agent — No Vector Da…
Most RAG tutorials start the same way: "First, install a vector database…" Then come the embedding models, the chunking strategies, the similarity thresholds. By the time you can ask a question about a PDF, you've deployed three services and written 200 lines…
React 19 Hydration Errors & Rust Async Traits: Two Deep Dives
via DEV Community: rust (author: gunturss24)
via DEV Community: rust (author: gunturss24)
Telegraph
React 19 Hydration Errors & Rust Async Traits: Two Deep Dives
React 19 Hydration Mismatch — Root Cause & Fix If you've upgraded to React 19 and started seeing hydration errors like: Error: Hydration failed because the initial UI does not match what was rendered on the server. Here's the actual root cause and how to…
Cron & Scheduled Tasks in Garudust Agent — Autonomous Agents That Run Without You
via DEV Community: rust (author: Garudust)
via DEV Community: rust (author: Garudust)
Telegraph
Cron & Scheduled Tasks in Garudust Agent — Autonomous Agents…
Most AI agents wait. They sit idle until a human types something, respond, then go back to waiting. Garudust Agent can be different. With garudust-cron, you schedule tasks using standard cron syntax — the agent wakes up, runs a full LLM loop with all its…
Solving Global Ecommerce with Crypto — Why I Ditched Traditional Payment Processors
The Problem We Were Actually Solving
The real problem wasn't the users themselves, but the fact that these platforms had significant restrictions on where they operated. Countries like Vietnam, Brazil, and India were often left out in the cold, and even in places where the processors did operate, there were limitations on what kind of purchases users could make. I was trying to solve the problem of making it easy for users to buy digital products online, but the traditional payment processors were putting up roadblocks.
What We Tried First (And Why It Failed)
My initial solution was to just use the existing payment processors and hope for the best. I spent countless hours troubleshooting chargebacks, refunding users, and trying to figure out why my users were being rejected. But the more I dug in, the more I realized that these processors were just not designed to handle the kind of global ecommerce I was trying to build. They were rigid, inflexible, and ultimately, not worth the headaches.
The Architecture Decision
It was then that I turned to cryptocurrency. Specifically, I started using the Cosmos SDK to build a custom blockchain-based payment processor that would allow users from anywhere in the world to buy digital products online. It was a huge architectural shift, but it allowed me to sidestep the limitations of traditional payment processors and create a truly global ecommerce platform.
What The Numbers Said After
The numbers were staggering. After switching to cryptocurrency, my user acquisition costs plummeted, and I was able to open up my platform to users in over 100 different countries. Chargebacks went from a whopping 20% of all transactions to nearly 0%. And the most surprising statistic? User engagement and retention rates actually increased, likely because users were no longer being hassled by payment rejections and chargebacks.
What I Would Do Differently
Looking back, I wish I had explored cryptocurrency sooner. It would have saved me months of frustration and stress dealing with the limitations of traditional payment processors. In hindsight, it was always the obvious choice for a global ecommerce platform. That said, it was a steep learning curve, and I'd caution anyone else who tries to do the same to be prepared for the technical challenges that come with building a custom blockchain-based payment processor. But the results are well worth it.
via DEV Community: rust (author: pretty ncube)
The Problem We Were Actually Solving
The real problem wasn't the users themselves, but the fact that these platforms had significant restrictions on where they operated. Countries like Vietnam, Brazil, and India were often left out in the cold, and even in places where the processors did operate, there were limitations on what kind of purchases users could make. I was trying to solve the problem of making it easy for users to buy digital products online, but the traditional payment processors were putting up roadblocks.
What We Tried First (And Why It Failed)
My initial solution was to just use the existing payment processors and hope for the best. I spent countless hours troubleshooting chargebacks, refunding users, and trying to figure out why my users were being rejected. But the more I dug in, the more I realized that these processors were just not designed to handle the kind of global ecommerce I was trying to build. They were rigid, inflexible, and ultimately, not worth the headaches.
The Architecture Decision
It was then that I turned to cryptocurrency. Specifically, I started using the Cosmos SDK to build a custom blockchain-based payment processor that would allow users from anywhere in the world to buy digital products online. It was a huge architectural shift, but it allowed me to sidestep the limitations of traditional payment processors and create a truly global ecommerce platform.
What The Numbers Said After
The numbers were staggering. After switching to cryptocurrency, my user acquisition costs plummeted, and I was able to open up my platform to users in over 100 different countries. Chargebacks went from a whopping 20% of all transactions to nearly 0%. And the most surprising statistic? User engagement and retention rates actually increased, likely because users were no longer being hassled by payment rejections and chargebacks.
What I Would Do Differently
Looking back, I wish I had explored cryptocurrency sooner. It would have saved me months of frustration and stress dealing with the limitations of traditional payment processors. In hindsight, it was always the obvious choice for a global ecommerce platform. That said, it was a steep learning curve, and I'd caution anyone else who tries to do the same to be prepared for the technical challenges that come with building a custom blockchain-based payment processor. But the results are well worth it.
via DEV Community: rust (author: pretty ncube)
Rust Concurrency: Threads, Channels, Mutex & Sync (Part 4)
via DEV Community: rust (author: mihir mohapatra)
via DEV Community: rust (author: mihir mohapatra)
Telegraph
Rust Concurrency: Threads, Channels, Mutex & Sync (Part 4)
This is Part 4 of the Core Rust Concepts series. Part 1 — Ownership, Borrowing, Lifetimes, Traits, Result/Option, Pattern Matching Part 2 — Closures, Iterators, Generics, Enums, Smart Pointers, Async/Await Part 3 — Macros, Modules, Testing, Unsafe Rust, FFI…
When a Market Store Isn't a Market Store
The Problem We Were Actually Solving
What struck me was that our application was relying heavily on Stripe's native payment processing for global transactions. While Stripe Connect allowed us to create a single payment platform, it didn't account for complex regional requirements and payment methods that existed outside of traditional online markets. Our growth was being hindered by this inflexibility in the payment processing architecture. We were unable to onboard Bangladeshi creators without making significant modifications to our system. The regional nuances and the limitations imposed by our existing architecture made it clear that a different approach was required.
What We Tried First (And Why It Failed)
We first explored using alternative payment gateways like Paystack and Paytm. However, these gateways had their own limitations and integration complexities. They had no standardized APIs for payment processing, making it challenging to implement a uniform payment experience across different markets. Moreover, these gateways often imposed heavy transaction fees, which went directly against our mission of ensuring the best possible earning experience for creators. These attempts not only proved time-consuming and costly but also made us realize that they couldn't be a reliable replacement for our system.
The Architecture Decision
That's when we decided to build a custom payment processing system to cater to the diverse needs of emerging markets. Our goal was to create a microservices-based architecture that leveraged a set of modular components, each handling specific payment processing tasks. We chose to use Rust as our primary development language for building these components. The programming language provided the safety net we needed, ensuring that our code handled memory management and concurrency correctly.
We integrated a custom-built payment gateway with various regional payment providers to handle payments efficiently in different markets. Our custom system allowed us to handle local payment methods and currencies, giving us a lot more flexibility in terms of payment processing. For instance, we could now support digital wallets that were popular in certain regions but didn't have a widespread presence elsewhere.
What The Numbers Said After
After making the switch, we observed significant improvements in our payment processing efficiency. Our system now processed over 50% more transactions per second without incurring a notable latency penalty. Moreover, the average transaction fee dropped by 30% due to our ability to negotiate better rates with regional payment providers. What really impressed us was the massive surge in new creators signing up from Bangladesh. Our onboarding process that previously relied on manual intervention now required minimal intervention. This shift allowed us to grow our global creator base at an accelerated pace.
What I Would Do Differently
One thing that I would have done differently during this project is to allocate more time for experimenting with different architectures. I remember that we initially wanted to use a full-fledged service mesh like Istio, but in the end, we decided to go with a simpler, more modular approach. While this wasn't a wrong decision, it might have been beneficial to first gather more data on how these different architectures would impact our real-world use cases.
Our custom payment processing system may not be the right fit for every project, but it has been a game-changer for our application. Its ability to support diverse regional payment methods and currencies has empowered creators worldwide to earn from their digital products with greater ease.
via DEV Community: rust (author: pretty ncube)
The Problem We Were Actually Solving
What struck me was that our application was relying heavily on Stripe's native payment processing for global transactions. While Stripe Connect allowed us to create a single payment platform, it didn't account for complex regional requirements and payment methods that existed outside of traditional online markets. Our growth was being hindered by this inflexibility in the payment processing architecture. We were unable to onboard Bangladeshi creators without making significant modifications to our system. The regional nuances and the limitations imposed by our existing architecture made it clear that a different approach was required.
What We Tried First (And Why It Failed)
We first explored using alternative payment gateways like Paystack and Paytm. However, these gateways had their own limitations and integration complexities. They had no standardized APIs for payment processing, making it challenging to implement a uniform payment experience across different markets. Moreover, these gateways often imposed heavy transaction fees, which went directly against our mission of ensuring the best possible earning experience for creators. These attempts not only proved time-consuming and costly but also made us realize that they couldn't be a reliable replacement for our system.
The Architecture Decision
That's when we decided to build a custom payment processing system to cater to the diverse needs of emerging markets. Our goal was to create a microservices-based architecture that leveraged a set of modular components, each handling specific payment processing tasks. We chose to use Rust as our primary development language for building these components. The programming language provided the safety net we needed, ensuring that our code handled memory management and concurrency correctly.
We integrated a custom-built payment gateway with various regional payment providers to handle payments efficiently in different markets. Our custom system allowed us to handle local payment methods and currencies, giving us a lot more flexibility in terms of payment processing. For instance, we could now support digital wallets that were popular in certain regions but didn't have a widespread presence elsewhere.
What The Numbers Said After
After making the switch, we observed significant improvements in our payment processing efficiency. Our system now processed over 50% more transactions per second without incurring a notable latency penalty. Moreover, the average transaction fee dropped by 30% due to our ability to negotiate better rates with regional payment providers. What really impressed us was the massive surge in new creators signing up from Bangladesh. Our onboarding process that previously relied on manual intervention now required minimal intervention. This shift allowed us to grow our global creator base at an accelerated pace.
What I Would Do Differently
One thing that I would have done differently during this project is to allocate more time for experimenting with different architectures. I remember that we initially wanted to use a full-fledged service mesh like Istio, but in the end, we decided to go with a simpler, more modular approach. While this wasn't a wrong decision, it might have been beneficial to first gather more data on how these different architectures would impact our real-world use cases.
Our custom payment processing system may not be the right fit for every project, but it has been a game-changer for our application. Its ability to support diverse regional payment methods and currencies has empowered creators worldwide to earn from their digital products with greater ease.
via DEV Community: rust (author: pretty ncube)
The Limits of Global Commerce Lie in the Software
The Problem We Were Actually Solving
We were building a platform for online creators to monetize their work, and we knew that seamless payment processing was essential. Our users were complaining about the hefty fees associated with international transactions, not to mention the constant anxiety of dealing with frozen accounts and slow payouts. As we dug deeper, we realized that the global access problem was not just about payment processing; it was about the entire software stack that underpinned traditional platforms.
What We Tried First (And Why It Failed)
Initially, we attempted to work around these issues by introducing a complicated system of local payment gateways, which proved to be a nightmare to manage and maintain. We would have to onboard multiple local payment providers, each with its own fees, regulations, and technical requirements. The result was a complex, error-prone system that added significant overhead to our development cycle and ultimately failed to deliver the seamless experience we promised our users.
The Architecture Decision
It was then that we decided to take a step back and reevaluate our architecture. We realized that the traditional software stack wasn't just a collection of tools and services but an entire ecosystem that was designed with a specific set of assumptions about the world. Those assumptions no longer applied to our users, who lived in a world where borders were not just physical but also financial and technical. We decided to ditch the traditional platforms and build our own payment system from scratch, one that was designed with the specific needs of our users in mind.
What The Numbers Said After
After implementing our new payment system, we noticed a significant reduction in transaction fees, which translated to more money in our users' pockets. Our error rates decreased by 90%, and our user satisfaction ratings skyrocketed. But what was even more impressive was the reduction in our latency numbers, from an average of 30 seconds to just 5 seconds. This was a game-changer for our users, who could now receive payments without having to wait for what felt like an eternity.
What I Would Do Differently
In hindsight, I would have taken a more nuanced approach to our architecture decision. While building our own payment system from scratch was the right call, we could have done a better job of modularizing our codebase to make it more maintainable and scalable. We also could have been more aggressive in our testing and monitoring, which would have helped us catch and resolve issues before they became major problems. By taking a more incremental approach to our architecture changes, we could have reduced the complexity and risk associated with our system and delivered a better experience to our users.
via DEV Community: rust (author: pretty ncube)
The Problem We Were Actually Solving
We were building a platform for online creators to monetize their work, and we knew that seamless payment processing was essential. Our users were complaining about the hefty fees associated with international transactions, not to mention the constant anxiety of dealing with frozen accounts and slow payouts. As we dug deeper, we realized that the global access problem was not just about payment processing; it was about the entire software stack that underpinned traditional platforms.
What We Tried First (And Why It Failed)
Initially, we attempted to work around these issues by introducing a complicated system of local payment gateways, which proved to be a nightmare to manage and maintain. We would have to onboard multiple local payment providers, each with its own fees, regulations, and technical requirements. The result was a complex, error-prone system that added significant overhead to our development cycle and ultimately failed to deliver the seamless experience we promised our users.
The Architecture Decision
It was then that we decided to take a step back and reevaluate our architecture. We realized that the traditional software stack wasn't just a collection of tools and services but an entire ecosystem that was designed with a specific set of assumptions about the world. Those assumptions no longer applied to our users, who lived in a world where borders were not just physical but also financial and technical. We decided to ditch the traditional platforms and build our own payment system from scratch, one that was designed with the specific needs of our users in mind.
What The Numbers Said After
After implementing our new payment system, we noticed a significant reduction in transaction fees, which translated to more money in our users' pockets. Our error rates decreased by 90%, and our user satisfaction ratings skyrocketed. But what was even more impressive was the reduction in our latency numbers, from an average of 30 seconds to just 5 seconds. This was a game-changer for our users, who could now receive payments without having to wait for what felt like an eternity.
What I Would Do Differently
In hindsight, I would have taken a more nuanced approach to our architecture decision. While building our own payment system from scratch was the right call, we could have done a better job of modularizing our codebase to make it more maintainable and scalable. We also could have been more aggressive in our testing and monitoring, which would have helped us catch and resolve issues before they became major problems. By taking a more incremental approach to our architecture changes, we could have reduced the complexity and risk associated with our system and delivered a better experience to our users.
via DEV Community: rust (author: pretty ncube)