Frankly

frankly

As developers, we know how powerful the tools we can develop are. The feeling of learning a language, and the freedom granted from mastering it is second to none. But with grand visions, comes a hefty amount of legwork to make those visions become a reality. For many programmers, the real reward and mastery of the craft is in the architecture of the software - That is, the ideation, planning, and matching the spec of the job to be completed, to the technical features of the software. The legwork of coding the software, on the other hand, is laborious. We’ve all heard about the transformative effects of AI in the fields of Human Resources, Education, and Law, but now programmers are turning their heads toward AI as the next tool to disrupt the industry. SoftMine - Development Made Simple That’s where SoftMine comes in. Unlike the mass of AI tools that generate one-off code snippets or autocomplete your functions with barely relevant suggestions, SoftMine goes far deeper. This isn’t just an assistant — it’s more like having an extra set of hands, eyes, and thanks to its’ intelligent suggestions - a brain on your project. SoftMine SoftMine At a high level, SoftMine can be thought of as a full-stack AI software engineer, and frankly, that’s not an exaggeration. The platform doesn’t just respond to prompts — it works with context. Feed it your technical spec, and it won’t ask you how to do it; it will design a solution that fits, and suggest improvements you might not have even thought of. From my own experience, one of the most impressive things about SoftMine is how quickly it gets a working MVP off the ground. You can describe the core functions of a web app — user auth, profile pages, admin dashboard — and it scaffolds the project structure, configures dependencies, builds out UI components, and wires everything into a functioning backend, automates testing and even deploys to hosting using its in-built deployment stack. Another standout feature is its natural language interface. You don’t need to feed it rigid commands or pre-written code blocks. You write like a human — “I want a login flow using Google OAuth with token refresh” — and it builds exactly that, with secure token handling, route protection, and even UI feedback baked in. The more technical your input, the more detailed and tailored the output. For indie developers and solo builders, this is more than just a productivity boost — it’s a fundamental shift in what’s possible. You can now go from concept to deployment in days not months, without compromising quality. And because SoftMine integrates version control, changelogs, and rollback options, you’re never locked into a black-box workflow. Proven Use Cases As it finishes the Beta testing phase, SoftMine has already been used to produce a number of working use cases, from website development, to simple games, and educational content for children - And the results are outstanding. Perhaps the most impressive development to come out of the SoftMine Beta test is a trading bot commissioned by a prominent crypto trader, which combs the blockchain for activities such as large volume trades, and unusual wallet movements which indicate potential potentially large movements in price coming in the future, which the trader can execute short or long positions on. The analyzer can spot emerging trends across a variety of crypto markets and is well placed to capitalize on the recent memecoin trend. For anyone interested in trying SoftMine’s AI development tool, they are currently offering a free trial of the service. free trial of the service free trial of the service Wrapping It Up For indie developers and solo builders, this is more than just a productivity boost — it’s a fundamental shift in what’s possible. You can now go from concept to deployment in days not months, without compromising quality. And because SoftMine integrates version control, changelogs, and rollback options, you’re never locked into a black-box workflow. And if this is just the start - the future of development might not be “write less code,” but rather: “let AI handle the boring parts so we can build better things.”. For more information keep up to date with SoftMine on their website or on their X.\ website website on their X on their X Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYO Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYO Vested Interest Disclosure: business blogging program business blogging program

Programmers are Reportedly 3x’ing their Workloads Using SoftMine’s AI Software Developer

Programmeerders vermeerder glo hul werklading met SoftMine se KI-sagteware-ontwikkelaar

Programeri navodno 3x koriste svoje radne opterećenja pomoću SoftMine-ovog AI softvera

Programmører tredobler efter sigende deres arbejdsbelastninger ved hjælp af SoftMines AI-softwareudvikler

Berichten zufolge verdreifachen Programmierer ihre Arbeitslast durch den Einsatz des KI-Softwareentwicklers von SoftMine

Los programadores están reportando 3 veces sus cargas de trabajo usando el desarrollador de software de IA de SoftMine

プログラマーはSoftMineのAIソフトウェア開発者ツールを利用して作業負荷を3倍に増やしていると報告されている

ERROR: invalid target_lang (ky)

Se pare că programatorii își schimbă de trei ori sarcinile de lucru folosind dezvoltatorul software AI SoftMine

ERROR: invalid target_lang (rw)

รายงานระบุว่าโปรแกรมเมอร์เพิ่มปริมาณงานของตนเป็น 3 เท่าด้วยการใช้ซอฟต์แวร์พัฒนา AI ของ SoftMine

ERROR: invalid target_lang (ts)

پروگرامرز مبینہ طور پر سافٹ مائن کے اے آئی سافٹ ویئر ڈویلپر کا استعمال کرتے ہوئے اپنے کام کے بوجھ کو 3 گنا بڑھا رہے ہیں

Answer the following questions for a shot at 500 USDT in the Spacecoin Writing Contest.
Good luck! Answer the following questions for a shot at 500 USDT in the Spacecoin Writing Contest. Spacecoin Writing Contest. Spacecoin Writing Contest Good luck! Telecom giants and states control who gets access and what they are allowed to view, with 37% of the world, billions of humans, offline due to expense, geography, or politics. The internet used to be an open wonder of millions of nodes communicating together, is now a network owned by technology goliaths like X, Google, Apple, Facebook, and Amazon. These centralized control points have diminished the web's early promise: a space no one could own, control, or shut off. I remembered when I first started to use the internet, it felt like an endless open space. For the time being, it always feels like I'm walking through a series of walled gardens, each with their own rules and restrictions. It's so infuriating to notice how much influence a few companies have over our online lives and quite frankly, it makes me wonder how much of the soul of the internet we've lost along the way again and again. Not until I come across Spacecoin. I mean I was into Creditcoin and so that's how I know their very first dApp. What is Spacecoin you ask? What is Spacecoin you ask? Spacecoin is a DEPIN which stand for Decentralized Physical Infrastructure Network. It's a project which caught attention of me and other people. And their mission is to deliver a decentralized, censored-free internet broadcast from space, breaking the "digital divide" and making the internet a right, not a privilege, for the 37% left behind. Gluwa's founder, Tae Oh, also Spacecoin's founder, calls it "the first step toward universal internet access". Gluwa's founder, Tae Oh, also Spacecoin's founder, calls it "the first step toward universal internet access". The Unhealthy State of Today's Internet The decentralized roots of the internet no different than the domain name system (DNS) behind more than 1 billion websites and apps same as WordPress behind 27% of them still intact. But increasingly, our digital lives are locked in walled gardens. Google and Apple dominate smartphones, from operating systems to app stores. Facebook dominates messaging globally, and in China, WeChat's one app integrates shopping, communication, and more for over 90% of city phone users. These integrated silos accumulate money and information, 95% of the value of the app economy residing in only 10 successful nations. Governments then centralize this power, compelling technology companies to censor or relinquish private data. The outcome? Competition is lost, censorship progresses rapidly, and billions are left behind. The problem is, Centralized systems are convenient and fast at impossible prices: telecos and governments can censor or shut off access at whim. In China or Brazil, millions have platforms like X removed instantly. Spacecoin's had enough. They're building an unstoppable network with nanosatellites to go around expensive ground infrastructure such as fiber optic cables and cell towers. They're providing internet access for $1-2 per month in developing markets cheaper than a cup of coffee. They're making satellites a lifeline where telecoms are not available, going over mountains, oceans, and borders. The Tech Powering Spacecoin's Vision Spacecoin combines space tech and blockchain technology, and they're demonstrating it. They're constructing their foundation on the 5G Non-Terrestrial Network (NTN), which enables satellites to connect to your phone effortlessly so no towers needed. It accommodates the latest Samsung and Apple phones and offers speedy, secure service as simple as texting. Therefore, why wait for cables when you can have connectivity from space like takeout rather than cooking? It's a miracle for disaster and rural areas and is there in seconds. I was not convinced when I first came across Spacecoin. A decentralized internet broadcast from space sounds like a too-good-to-be-true thing something I'd have read out of a science fiction book that I'd read on a rainy afternoon. But the more I've listened to their technology and watched them develop, I have come to believe. It is exciting to see a project that is not only discussing decentralization but is putting their hands on it and doing it. With Creditcoin, a blockchain made for trust and scalability and one that I adore and supported and yap about all day on my social media, Spacecoin makes payments, governance, and resources possible through open-source smart contracts. In simple terms, Users can make crypto payments between chains, particularly in new regions, and the system is still seamless and open. The proof is in the progress: CTC-0 blasted off on Dec. 21, 2024, from Vandenberg Space Force Base, and they're already talking to it, checking for messaging capability with bigger trials on the way in 2025. https://x.com/_spacecoin/status/1870613241803460933?embedable=true https://x.com/_spacecoin/status/1870613241803460933?embedable=true CTC-1, the bigger satellite with rapid service, arrives next year as part of a road map with further launches, ground stations, and public input through blockchain. Full coverage of the entire world is still years away, but their labor is relentless. Benefits of a Decentralized Internet What’s the gain you ask? What’s the gain you ask? There’s plenty. There's the use of satellites and blockchain technology which eliminates the need for expensive ground based plans. More importantly, it provides a sense of security against control as well. It allows spending shields free speech and the infomation teetering on access which is essential for censored bloggers. The lack of central control allows the internet to be used freely. It gives way to more innovation and usage as opposed to corporate and state control. It’s true I have witnessed the chokehold centralized control can fuel creativity, keeping citizens on the sideline. My overseas friends have told me stories about some sites being completely blocked and others slowed down to a crawl which is unimaginable to me. Undoubtedly Spacecoin's plan can help make a huge difference in a world where the internet feels like a mirage, and as always, there are issues that come with this type of technology on revolution always having storms to weather. I can only hope that they'll be able to make it happen. Spacecoin's blockchain governance is a reflection of the 2016 transfer of DNS to ICANN, putting power in the hands of the community, not a board room. Its satellites impose a cosmic net neutrality, giving all data equal regard without Earth-bound gatekeepers. Challenges Ahead It's not an ideal rise. Satellites can ignore borders, but politicians can't. Spacecoin's global footprint could generate regulatory battles or geopolitical strife. Their open-source strategy can minimize tension, but politics is a wild card. From a technology perspective, building a satellite constellation is a challenge. Bugs, delays, and growing to billions of users could bring progress to a standstill. Performance and scalability issues, inherent to cryptonetworks, are lurking as they scale out their armada of nanosatellites and optimize 5GNTN. One bad turn may keep them behind, though, their rapid iteration and growing devbase give hope. Decentralized networks, if cared for, can expand exponentially and Spacecoin's betting on it. A New Era of Connectivity Spacecoin is the "Web 3" dream: people-owned networks to bring down the centralized giants. They're employing nanosatellites, 5GNTN, and blockchain to bring censorship, cost, and access dead on. It's not technology, it's people, from that hopeful boy in the backwoods to you and me. There are going to be challenges still, but the payoff? All those people online, no strings attached, could redefine connectedness. With new satellites and testing on the horizon, Spacecoin is moving quickly toward a future where the internet is returned to the people. Their vision speaks to me because I still believe the internet can be a good thing, a tool to lift us up, not hold us back. A decentralized, open internet might spark creativity and connection on a scale we've barely imagined. I'm cheering for Spacecoin, not as a pleasant notion, but as a vision of what the internet could be once more. What about you? Do you think they can do it? Want to Know More About Spacecoin? You can read more of their roadmap here:  https://medium.com/@_spacecoin/spacecoin-in-2025-from-one-satellite-to-a-global-internet-revolution-c582f7185f80 https://medium.com/@_spacecoin/spacecoin-in-2025-from-one-satellite-to-a-global-internet-revolution-c582f7185f80 Or visit their Blog: https://spacecoin.org/ https://spacecoin.org/ References https://medium.com/@_spacecoin/spacecoin-successfully-launched-its-first-satellite-ctc-0-8865a5aa151a https://medium.com/@_spacecoin/spacecoin-successfully-launched-its-first-satellite-ctc-0-8865a5aa151a https://medium.com/@_spacecoin/spacecoin-in-2025-from-one-satellite-to-a-global-internet-revolution-c582f7185f80 https://medium.com/@_spacecoin/spacecoin-in-2025-from-one-satellite-to-a-global-internet-revolution-c582f7185f80 https://medium.com/@_spacecoin/low-earth-orbit-explained-key-insights-into-earths-closest-space-frontier-e1ca424d6f4b https://medium.com/@_spacecoin/low-earth-orbit-explained-key-insights-into-earths-closest-space-frontier-e1ca424d6f4b

The Beginner’s Guide to Spacecoin and Decentralized Internet

Localizing Your Digital Service Isn't Just About Translation

I still remember the morning our CTO walked into our weekly team meeting and dropped the bomb: "We're finally moving our databases to the cloud." After 8 years of babysitting our on-premise SQL Server infrastructure—the 2 AM alerts, the sweaty backup restoration drills, and those nerve-wracking version upgrades—I had mixed feelings. Part excitement, part dread, and a healthy dose of skepticism. It's been 14 months since we completed our migration to AWS RDS, and boy, do I have stories to tell. If you're considering a similar move, grab a coffee. This might save you some headaches. Show Me the Money: The Real Cost Story Let's cut to the chase—yes, we're saving money, but not exactly how we expected. The old way: Dropping $140K every 4-5 years on server refreshes, plus the joy of explaining to finance why we needed another storage expansion "urgently." Not to mention the electricity bills from our data center that seemed to only go in one direction: up. Now? We've chopped about 30% off our total database costs. But here's the kicker—our bill fluctuates month to month. Last quarter during our big product launch, usage spiked and so did our AWS bill. Our CFO called me asking if we'd been hacked! Had to explain that cloud bills reflect actual usage, not the "set it and forget it" hardware costs he was used to. Now he checks our CloudWatch dashboards more often than I do. Performance: When "Fast Enough" Isn't Anyone who says moving to RDS is always performance-neutral is selling you something. Our customer portal database? Smooth sailing from day one. Our analytics workload? A completely different story. Those complex queries that screamed on our tuned SQL Server suddenly felt like they were wading through molasses. Turns out our on-premise setup had local SSDs with ridiculous I/O throughput that the standard RDS configuration couldn't match. After a week of our analysts giving me the stink eye in the lunch room, I bit the bullet and upgraded to provisioned IOPS storage. Problem solved, but my carefully calculated cost savings took a hit. The most annoying part? Having to explain to developers why their local database queries ran differently in the cloud. I've become a broken record: "No, you can't just throw hardware at every performance problem in RDS." The Unexpected Freedom of Managed Services I won't lie—waking up and NOT seeing backup failure emails in my inbox still feels like a small miracle. Six months in, I realized I hadn't manually applied a single SQL Server patch or worried about a storage drive failing. My favorite moment? When our primary database instance had an issue at 3 AM, and the multi-AZ setup failed over automatically. The system kept running, and I only found out when I checked the event logs the next morning. I just sat there staring at my screen, wondering what to do with this strange new feeling called "peace of mind." Now my team actually works on things that move the business forward instead of babysitting infrastructure. Yesterday, we spent an entire day optimizing query performance for our sales team—work that kept getting pushed aside before when we were juggling server issues. The "You Can't Do That Anymore" Conversation Nobody tells you how many uncomfortable conversations you'll have after migrating: "No, we can't just RDP into the database server to run that quick fix script." "Sorry, but that custom monitoring agent you've used forever won't work in RDS." "Yes, I know SQL Server Agent used to handle that, but we need to rethink it now." The most painful one? Telling our senior DBA he couldn't use his beloved custom trace flags anymore. He looked at me like I'd stolen his dog. We ended up rebuilding his performance monitoring solution using CloudWatch and Lambda functions. It works better now, but man, those first few weeks were rough. Security: Better but Different Our security team initially freaked out about "putting our crown jewels in someone else's data center." The irony? Our security posture is actually stronger now. Remember our old way of handling database credential rotation? That manual quarterly process with the spreadsheet nobody wants to talk about? Gone. Replaced with AWS Secrets Manager and automated rotation. The compliance audit that used to take weeks of preparation? Last time, I just pulled AWS's certifications and documentation, mapped our controls, and was done in days instead of weeks. But here's what they don't tell you in the brochures: your security work doesn't disappear—it transforms. Instead of worrying about physical server access and OS patches, I'm now deep in IAM policies, VPC designs, and encryption settings. Different headaches, same aspirin. The New Superpowers: Automation and Flexibility The biggest win? The stuff we can do now that was practically impossible before. Last month, our product team needed a complete copy of production (sanitized, of course) for testing a major feature. In the old world, that would have meant capacity planning, hardware procurement, and weeks of delay. With RDS? I wrote a quick script that spun up a snapshot-based clone, ran our data sanitization routines, and handed them access credentials—all before lunch. They were genuinely shocked. Even better was watching our junior DBA's face when she created her first "infrastructure as code" template. She automated the entire database provisioning process, complete with parameter groups, security settings, and monitoring—all version-controlled in our Git repo. "This would have taken weeks to document and standardize before," she said. No kidding. The Migration Itself: Not for the Faint of Heart I won't sugarcoat it—migration was tough. We initially tried the AWS Database Migration Service (DMS), thinking it would work like magic. Spoiler: it didn't. We encountered character encoding problems, strange stored procedure translations, and performance bottlenecks. We ultimately adopted a hybrid approach: DMS for the initial heavy lifting, SQL Server native tools for validation, and custom scripts to manage the edge cases. Despite months of planning, our first production cutover still ran 4 hours behind schedule. I felt like I aged years that weekend. The strangest issue? A third-party application that relied on SQL Server's exact behavior around identity columns. It worked fine in testing but fell apart in production. We spent two days tracking that one down. My advice: Double your estimated migration timeline, then add weekends. And have a solid rollback plan—not just technically, but also make sure everyone knows when you'll make the call to trigger it. When RDS Makes Sense (And When It Doesn't) After going through this with multiple databases, I've developed a pretty good sense for when RDS shines: Our customer database with its predictable workload and critical uptime requirements? Perfect for RDS. The multi-AZ setup alone justified the migration. Our massive data warehouse with specialized performance tuning and custom agent requirements? We actually moved that one back on-premise after a failed RDS migration attempt. Some workloads just don't fit the managed service model. The development databases that teams spin up and down constantly? RDS is a dream for those. Developers create what they need, when they need it, without IT becoming a bottleneck. The Messy Reality (Conclusion) Fourteen months in, and I still occasionally miss some aspects of having complete control over our database servers. But would I return? Not a chance. The night our cooling system failed in the old server room, I received a text from my former colleague who still manages some on-premises systems. While he rushed to the office at midnight, I was watching Netflix. That pretty much sums it up. The move to RDS wasn't just a technical change—it fundamentally shifted how our team operates. We're more proactive, more developer-focused, and frankly, less stressed. We're building skills in automation and cloud architecture instead of hardware troubleshooting. It wasn't perfect, it wasn't always smooth, and it definitely wasn't as simple as AWS's marketing suggests. But for us, for most of our workloads, it was absolutely the right move. I still remember the morning our CTO walked into our weekly team meeting and dropped the bomb: "We're finally moving our databases to the cloud." After 8 years of babysitting our on-premise SQL Server infrastructure—the 2 AM alerts, the sweaty backup restoration drills, and those nerve-wracking version upgrades—I had mixed feelings. Part excitement, part dread, and a healthy dose of skepticism. It's been 14 months since we completed our migration to AWS RDS, and boy, do I have stories to tell. If you're considering a similar move, grab a coffee. This might save you some headaches. Show Me the Money: The Real Cost Story Let's cut to the chase—yes, we're saving money, but not exactly how we expected. The old way: Dropping $140K every 4-5 years on server refreshes, plus the joy of explaining to finance why we needed another storage expansion "urgently." Not to mention the electricity bills from our data center that seemed to only go in one direction: up. The old way: Now? We've chopped about 30% off our total database costs. But here's the kicker—our bill fluctuates month to month. Last quarter during our big product launch, usage spiked and so did our AWS bill. Our CFO called me asking if we'd been hacked! Had to explain that cloud bills reflect actual usage, not the "set it and forget it" hardware costs he was used to. Now he checks our CloudWatch dashboards more often than I do. Performance: When "Fast Enough" Isn't Anyone who says moving to RDS is always performance-neutral is selling you something. Our customer portal database? Smooth sailing from day one. Our analytics workload? A completely different story. Those complex queries that screamed on our tuned SQL Server suddenly felt like they were wading through molasses. Turns out our on-premise setup had local SSDs with ridiculous I/O throughput that the standard RDS configuration couldn't match. After a week of our analysts giving me the stink eye in the lunch room, I bit the bullet and upgraded to provisioned IOPS storage. Problem solved, but my carefully calculated cost savings took a hit. The most annoying part? Having to explain to developers why their local database queries ran differently in the cloud. I've become a broken record: "No, you can't just throw hardware at every performance problem in RDS." The Unexpected Freedom of Managed Services I won't lie—waking up and NOT seeing backup failure emails in my inbox still feels like a small miracle. Six months in, I realized I hadn't manually applied a single SQL Server patch or worried about a storage drive failing. My favorite moment? When our primary database instance had an issue at 3 AM, and the multi-AZ setup failed over automatically. The system kept running, and I only found out when I checked the event logs the next morning. I just sat there staring at my screen, wondering what to do with this strange new feeling called "peace of mind." Now my team actually works on things that move the business forward instead of babysitting infrastructure. Yesterday, we spent an entire day optimizing query performance for our sales team—work that kept getting pushed aside before when we were juggling server issues. The "You Can't Do That Anymore" Conversation Nobody tells you how many uncomfortable conversations you'll have after migrating: "No, we can't just RDP into the database server to run that quick fix script." "Sorry, but that custom monitoring agent you've used forever won't work in RDS." "Yes, I know SQL Server Agent used to handle that, but we need to rethink it now." The most painful one? Telling our senior DBA he couldn't use his beloved custom trace flags anymore. He looked at me like I'd stolen his dog. We ended up rebuilding his performance monitoring solution using CloudWatch and Lambda functions. It works better now, but man, those first few weeks were rough. Security: Better but Different Our security team initially freaked out about "putting our crown jewels in someone else's data center." The irony? Our security posture is actually stronger now. Remember our old way of handling database credential rotation? That manual quarterly process with the spreadsheet nobody wants to talk about? Gone. Replaced with AWS Secrets Manager and automated rotation. The compliance audit that used to take weeks of preparation? Last time, I just pulled AWS's certifications and documentation, mapped our controls, and was done in days instead of weeks. But here's what they don't tell you in the brochures: your security work doesn't disappear—it transforms. Instead of worrying about physical server access and OS patches, I'm now deep in IAM policies, VPC designs, and encryption settings. Different headaches, same aspirin. The New Superpowers: Automation and Flexibility The biggest win? The stuff we can do now that was practically impossible before. Last month, our product team needed a complete copy of production (sanitized, of course) for testing a major feature. In the old world, that would have meant capacity planning, hardware procurement, and weeks of delay. With RDS? I wrote a quick script that spun up a snapshot-based clone, ran our data sanitization routines, and handed them access credentials—all before lunch. They were genuinely shocked. Even better was watching our junior DBA's face when she created her first "infrastructure as code" template. She automated the entire database provisioning process, complete with parameter groups, security settings, and monitoring—all version-controlled in our Git repo. "This would have taken weeks to document and standardize before," she said. No kidding. The Migration Itself: Not for the Faint of Heart I won't sugarcoat it—migration was tough. We initially tried the AWS Database Migration Service (DMS), thinking it would work like magic. Spoiler: it didn't. We encountered character encoding problems, strange stored procedure translations, and performance bottlenecks. We ultimately adopted a hybrid approach: DMS for the initial heavy lifting, SQL Server native tools for validation, and custom scripts to manage the edge cases. Despite months of planning, our first production cutover still ran 4 hours behind schedule. I felt like I aged years that weekend. The strangest issue? A third-party application that relied on SQL Server's exact behavior around identity columns. It worked fine in testing but fell apart in production. We spent two days tracking that one down. My advice: Double your estimated migration timeline, then add weekends. And have a solid rollback plan—not just technically, but also make sure everyone knows when you'll make the call to trigger it. When RDS Makes Sense (And When It Doesn't) After going through this with multiple databases, I've developed a pretty good sense for when RDS shines: Our customer database with its predictable workload and critical uptime requirements? Perfect for RDS. The multi-AZ setup alone justified the migration. Our massive data warehouse with specialized performance tuning and custom agent requirements? We actually moved that one back on-premise after a failed RDS migration attempt. Some workloads just don't fit the managed service model. The development databases that teams spin up and down constantly? RDS is a dream for those. Developers create what they need, when they need it, without IT becoming a bottleneck. The Messy Reality (Conclusion) Fourteen months in, and I still occasionally miss some aspects of having complete control over our database servers. But would I return? Not a chance. The night our cooling system failed in the old server room, I received a text from my former colleague who still manages some on-premises systems. While he rushed to the office at midnight, I was watching Netflix. That pretty much sums it up. The move to RDS wasn't just a technical change—it fundamentally shifted how our team operates. We're more proactive, more developer-focused, and frankly, less stressed. We're building skills in automation and cloud architecture instead of hardware troubleshooting. It wasn't perfect, it wasn't always smooth, and it definitely wasn't as simple as AWS's marketing suggests. But for us, for most of our workloads, it was absolutely the right move.

SQL Server to AWS RDS Migration: The Good, the Bad, and Everything in Between

Have a "Signature Something" and 26 Other Lifehacks for Being Eccentrically Charming

Veteran Designer Reveals Why Extreme Minimalism Was a Design Mistake

From Paris to Berlin: How to Create Circuit-Breakers in Kotlin

París markat Berlín markar: Kunjamas Kotlin markanx interruptores ukanakax lurasispa

De París a Berlín: cómo crear disyuntores en Kotlin

Paristik Berlinera: nola sortu etengailuak Kotlinen

מפריז לברלין: כיצד ליצור שוברי חשמל בקוטלין

パリからベルリンへ: Kotlin でサーキットブレーカーを作成する方法

ពីប៉ារីសទៅប៊ែរឡាំង: របៀបបង្កើតសៀគ្វីបំបែកនៅ Kotlin

파리에서 베를린까지: Kotlin에서 Circuit-Breaker를 만드는 방법

Nuo Paryžiaus iki Berlyno: kaip sukurti grandinės pertraukiklius Kotline

No Parīzes līdz Berlīnei: kā izveidot slēdžus Kotlinā

Dari Paris ke Berlin: Cara Membuat Pemutus Litar di Kotlin

பாரிஸிலிருந்து பெர்லின் வரை: கோட்லினில் சர்க்யூட் பிரேக்கர்களை உருவாக்குவது எப்படி

Trump, Don’t Just Lock Away Your 1 Million Bitcoin—Build a Tech Metropolis Instead

Trump, moenie net jou 1 miljoen Bitcoin wegsluit nie - bou eerder 'n tegniese metropool

ট্রাম্প, শুধু আপনার 1 মিলিয়ন বিটকয়েন দূরে লক করবেন না - পরিবর্তে একটি টেক মেট্রোপলিস তৈরি করুন

Trump, no guardes bajo llave tu millón de bitcoins: construye una metrópolis tecnológica

トランプ氏、100万ビットコインをただ閉じ込めるのではなく、テクノロジー大都市を建設しましょう

트럼프, 100만 비트코인을 그냥 잠그지 말고 대신 기술 대도시를 건설하세요

Трамп, не само заклучувај го својот 1 милион биткоин - наместо тоа, изгради технолошка метропола

ټرمپ، یوازې خپل 1 ملیون بټکوین مه بندوئ — پرځای یې ټیک میټروپولیس جوړ کړئ

ට්‍රම්ප්, ඔබේ මිලියන 1 බිට්කොයින් අගුළු දමන්න එපා - ඒ වෙනුවට තාක්ෂණික අගනගරයක් ගොඩනඟන්න

Трампе, немојте само закључати свој милион биткоина – уместо тога изградите технолошку метрополу

Trump, Huwag Lang I-lock ang Iyong 1 Milyong Bitcoin—Bumuo Sa halip ng Tech Metropolis

ٹرمپ، صرف اپنے 1 ملین بٹ کوائن کو بند نہ کریں - اس کے بجائے ایک ٹیک میٹروپولیس بنائیں

Tramp, shunchaki 1 million bitkoiningizni yo‘qotib qo‘ymang – o‘rniga texnologik metropolis quring

Hola Hackers! Now that 2024 has ended, we thought it would be interesting to recap our community’s viewing history. HackerNoon publishes hundreds of articles every week, but what were the Top 10 categories that grabbed more attention than the others? Well, you’re about to find out. The HackerNoon community had a total reading time of 44 YEARS, 6 MONTHS, AND 18 DAYS, but the one category that caught our community's attention more than the others was… Programming! Category

Number of Years Read



Programming

9.32



Tech-stories

6.75



Machine-learning

5.32



Product-management

3.69



Web3

3.14



Cloud

2.54



Gaming

2.01



Finance

1.69



Cybersecurity

1.60



Data-science

1.59 With over 9.3 years of reading time, HackerNoon readers kept coming back and back for what the Programming category had in store. Well, no surprises there! HackerNoon is home to some of the most in-depth guides and tutorials you’ll find on the internet on, quite frankly, any programming language you can think of! But it’s not all just code; the Tech-stories category also caught our community’s attention, underscoring the prominence of thought leadership and other news-worthy items that our readers care about. Artificial intelligence also continued to grab our community’s attention as the category had a reading time of over five years! Ok, so what about the most-read stories in each of the categories? Well, friends, we have the data for that too! Here are the Top 3 stories in the most-read categories of 2024. Programming How to Deal With Complexity When Designing Software Systems by Aleksei
Using Firebase Authentication with the Latest Next.js Features by Amadeusz Winogrodzki
Architectural Foundations for Startups: Translating Business Into Tech by Pavel Grishin Tech-Stories The Evolution of Data Center Cooling: From Air-Based Methods to Free Cooling by Egor Karitskii
Optimizing Data Center Efficiency: A Deep Dive into Freecooling Techniques by Egor Karitskii
How To Choose A Server Stack At Product Launch by Grigorii Novikov (Wow, a double whammy for Egor Karitskii! Congrats!) Artificial Intelligence Portfolio Management: All The Ways AI Is Transforming Modern Asset Strategies by Andrey Kustarev
Open-Source: The Next Step in AI Revolution by MinIO
Starting Simple: The Strategic Advantage of Baseline Models in Machine Learning by Andrey Kustarev (This time, Andrey Kustarev occupied the top slots! Congrats!) Product Management From Pre-Seed to Series A: Navigating the Key Stages of Product Development by Denis Edemskiy
Product Hypothesis Validation: Best Practices & Examples by Anastasia Faizulenova
5 Steps To Achieving Product Market Fit And The 40% Rule by Julia Kordinova Web3 Financial Nihilism and Bitcoin Explained by Darragh Grove-White
What's Inside Play to Earn by Andrey Logunov
Unlocking 2024/25: The Ultimate Guide to Top RWA Crypto Projects by Mickey Maler Cloud How to Earn $1 Million With AWS in One Year by Gianpi Colonna


Everything You Need to Know to Implement Generative AI for Your Enterprise by MinIO


Smooth Sailing: Transitioning from Docker to Localhost by MinIO (Congrats to MinIO for dominating this one!) Gaming How Fortnite Creative and UEFN Is The Next Big Creative Moneymaker and Why by Goldie Chan
Nintendo Breaks Its Silence On Palworld by Player Auctions
Stardew Valley 1.6 on Switch: For the Console, The Wait Continues ("As Soon as Possible") by Avni Savaliya Finance The High-Frequency Trading Developer’s Guide: Six Key Components for Low Latency and Scalability by Pavel Grishin
Checklist for FinTech Product Growth: Channels, Trends, and Tools by Denis Edemskiy
Protect People From Themselves: Reducing Default Risks in P2P Lending by Alexander Koptelov Cybersecurity Unmasking VEILDrive: Threat Actors Exploit Microsoft Services for Command & Control by Hunters
Cross-Site Scripting (XSS) Vulnerabilities: Testing Strategies and Examples by Konstantin Sakhchinskiy
Intro to Digital Fingerprints: Understanding, Manipulating, and Defending Against Online Tracking by Konstantin Sakhchinskiy (Pretty impressive, Konstantin Sakhchinskiy!) Data Science Outlier Detection: What You Need to Know by Natalia Ogneva
QA Checks for Big Datasets With Deequ & Statistical Methods by Akshay Jain
Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory by Andrey Kustarev And that’s a wrap! What did you think? Any surprises here? Let us know, and see y’all throughout 2025! Read More About HackerNoon’s (and the HackerNoon Community’s) 2024: HackerNoon Decoded: How Users Searched in 2024
HackerNoon Decoded: The Polls that Defined 2024
HackerNoon Coded: The Top 10 Countries Where HackerNoon Is the Most Active
HackerNoon Partnerships, Decoded!
Welcome to HackerNoon Decoded: The Best of 2024 Hola Hackers! Now that 2024 has ended, we thought it would be interesting to recap our community’s viewing history. HackerNoon publishes hundreds of articles every week, but what were the Top 10 categories that grabbed more attention than the others? Well, you’re about to find out. Top 10 The HackerNoon community had a total reading time of 44 YEARS, 6 MONTHS, AND 18 DAYS , but the one category that caught our community's attention more than the others was… Programming ! 44 YEARS, 6 MONTHS, AND 18 DAYS Programming Programming Category

Number of Years Read



Programming

9.32



Tech-stories

6.75



Machine-learning

5.32



Product-management

3.69



Web3

3.14



Cloud

2.54



Gaming

2.01



Finance

1.69



Cybersecurity

1.60



Data-science

1.59 Category

Number of Years Read



Programming

9.32



Tech-stories

6.75



Machine-learning

5.32



Product-management

3.69



Web3

3.14



Cloud

2.54



Gaming

2.01



Finance

1.69



Cybersecurity

1.60



Data-science

1.59 Category

Number of Years Read Programming

9.32 Tech-stories

6.75 Machine-learning

5.32 Product-management

3.69 Web3

3.14 Cloud

2.54 Gaming

2.01 Finance

1.69 Cybersecurity

1.60 Data-science

1.59 Category Number of Years Read Category Category Category Number of Years Read Number of Years Read Number of Years Read Programming 9.32 Programming Programming Programming Programming 9.32 9.32 Tech-stories 6.75 Tech-stories Tech-stories Tech-stories Tech-stories 6.75 6.75 Machine-learning 5.32 Machine-learning Machine-learning Machine-learning Machine-learning 5.32 5.32 Product-management 3.69 Product-management Product-management Product-management Product-management 3.69 3.69 Web3 3.14 Web3 Web3 Web3 Web3 3.14 3.14 Cloud 2.54 Cloud Cloud Cloud Cloud 2.54 2.54 Gaming 2.01 Gaming Gaming Gaming Gaming 2.01 2.01 Finance 1.69 Finance Finance Finance Finance 1.69 1.69 Cybersecurity 1.60 Cybersecurity Cybersecurity Cybersecurity Cybersecurity 1.60 1.60 Data-science 1.59 Data-science Data-science Data-science Data-science 1.59 1.59 With over 9.3 years of reading time, HackerNoon readers kept coming back and back for what the Programming category had in store. Programming Programming Well, no surprises there! HackerNoon is home to some of the most in-depth guides and tutorials you’ll find on the internet on, quite frankly, any programming language you can think of! is But it’s not all just code; the Tech-stories category also caught our community’s attention, underscoring the prominence of thought leadership and other news-worthy items that our readers care about. Tech-stories category Tech-stories category Artificial intelligence also continued to grab our community’s attention as the category had a reading time of over five years ! Artificial intelligence five years Ok, so what about the most-read stories in each of the categories? Well, friends, we have the data for that too! Here are the Top 3 stories in the most-read categories of 2024. Top 3 stories Programming Programming How to Deal With Complexity When Designing Software Systems by Aleksei Using Firebase Authentication with the Latest Next.js Features by Amadeusz Winogrodzki Architectural Foundations for Startups: Translating Business Into Tech by Pavel Grishin How to Deal With Complexity When Designing Software Systems by Aleksei How to Deal With Complexity When Designing Software Systems How to Deal With Complexity When Designing Software Systems Aleksei Aleksei Using Firebase Authentication with the Latest Next.js Features by Amadeusz Winogrodzki Using Firebase Authentication with the Latest Next.js Features Amadeusz Winogrodzki Architectural Foundations for Startups: Translating Business Into Tech by Pavel Grishin Architectural Foundations for Startups: Translating Business Into Tech Pavel Grishin Tech-Stories Tech-Stories The Evolution of Data Center Cooling: From Air-Based Methods to Free Cooling by Egor Karitskii Optimizing Data Center Efficiency: A Deep Dive into Freecooling Techniques by Egor Karitskii How To Choose A Server Stack At Product Launch by Grigorii Novikov The Evolution of Data Center Cooling: From Air-Based Methods to Free Cooling by Egor Karitskii The Evolution of Data Center Cooling: From Air-Based Methods to Free Cooling Egor Karitskii Optimizing Data Center Efficiency: A Deep Dive into Freecooling Techniques by Egor Karitskii Optimizing Data Center Efficiency: A Deep Dive into Freecooling Techniques Egor Karitskii How To Choose A Server Stack At Product Launch by Grigorii Novikov How To Choose A Server Stack At Product Launch Grigorii Novikov (Wow, a double whammy for Egor Karitskii ! Congrats!) Egor Karitskii Artificial Intelligence Artificial Intelligence Portfolio Management: All The Ways AI Is Transforming Modern Asset Strategies by Andrey Kustarev Open-Source: The Next Step in AI Revolution by MinIO Starting Simple: The Strategic Advantage of Baseline Models in Machine Learning by Andrey Kustarev Portfolio Management: All The Ways AI Is Transforming Modern Asset Strategies by Andrey Kustarev Portfolio Management: All The Ways AI Is Transforming Modern Asset Strategies Andrey Kustarev Open-Source: The Next Step in AI Revolution by MinIO Open-Source: The Next Step in AI Revolution MinIO Starting Simple: The Strategic Advantage of Baseline Models in Machine Learning by Andrey Kustarev Starting Simple: The Strategic Advantage of Baseline Models in Machine Learning Andrey Kustarev (This time, Andrey Kustarev occupied the top slots! Congrats!) Andrey Kustarev Product Management Product Management From Pre-Seed to Series A: Navigating the Key Stages of Product Development by Denis Edemskiy Product Hypothesis Validation: Best Practices & Examples by Anastasia Faizulenova 5 Steps To Achieving Product Market Fit And The 40% Rule by Julia Kordinova From Pre-Seed to Series A: Navigating the Key Stages of Product Development by Denis Edemskiy From Pre-Seed to Series A: Navigating the Key Stages of Product Development Denis Edemskiy Product Hypothesis Validation: Best Practices & Examples by Anastasia Faizulenova Product Hypothesis Validation: Best Practices & Examples Anastasia Faizulenova 5 Steps To Achieving Product Market Fit And The 40% Rule by Julia Kordinova 5 Steps To Achieving Product Market Fit And The 40% Rule Julia Kordinova Web3 Web3 Financial Nihilism and Bitcoin Explained by Darragh Grove-White What's Inside Play to Earn by Andrey Logunov Unlocking 2024/25: The Ultimate Guide to Top RWA Crypto Projects by Mickey Maler Financial Nihilism and Bitcoin Explained by Darragh Grove-White Financial Nihilism and Bitcoin Explained Darragh Grove-White What's Inside Play to Earn by Andrey Logunov What's Inside Play to Earn Andrey Logunov Unlocking 2024/25: The Ultimate Guide to Top RWA Crypto Projects by Mickey Maler Unlocking 2024/25: The Ultimate Guide to Top RWA Crypto Projects Mickey Maler Cloud Cloud How to Earn $1 Million With AWS in One Year by Gianpi Colonna Everything You Need to Know to Implement Generative AI for Your Enterprise by MinIO Smooth Sailing: Transitioning from Docker to Localhost by MinIO How to Earn $1 Million With AWS in One Year by Gianpi Colonna How to Earn $1 Million With AWS in One Year by Gianpi Colonna How to Earn $1 Million With AWS in One Year Gianpi Colonna Everything You Need to Know to Implement Generative AI for Your Enterprise by MinIO Everything You Need to Know to Implement Generative AI for Your Enterprise by MinIO Everything You Need to Know to Implement Generative AI for Your Enterprise MinIO Smooth Sailing: Transitioning from Docker to Localhost by MinIO Smooth Sailing: Transitioning from Docker to Localhost by MinIO Smooth Sailing: Transitioning from Docker to Localhost MinIO (Congrats to MinIO for dominating this one!) MinIO Gaming Gaming How Fortnite Creative and UEFN Is The Next Big Creative Moneymaker and Why by Goldie Chan Nintendo Breaks Its Silence On Palworld by Player Auctions Stardew Valley 1.6 on Switch: For the Console, The Wait Continues ("As Soon as Possible") by Avni Savaliya How Fortnite Creative and UEFN Is The Next Big Creative Moneymaker and Why by Goldie Chan How Fortnite Creative and UEFN Is The Next Big Creative Moneymaker and Why Goldie Chan Nintendo Breaks Its Silence On Palworld by Player Auctions Nintendo Breaks Its Silence On Palworld Player Auctions Stardew Valley 1.6 on Switch: For the Console, The Wait Continues ("As Soon as Possible") by Avni Savaliya Stardew Valley 1.6 on Switch: For the Console, The Wait Continues ("As Soon as Possible") Avni Savaliya Finance Finance The High-Frequency Trading Developer’s Guide: Six Key Components for Low Latency and Scalability by Pavel Grishin Checklist for FinTech Product Growth: Channels, Trends, and Tools by Denis Edemskiy Protect People From Themselves: Reducing Default Risks in P2P Lending by Alexander Koptelov The High-Frequency Trading Developer’s Guide: Six Key Components for Low Latency and Scalability by Pavel Grishin The High-Frequency Trading Developer’s Guide: Six Key Components for Low Latency and Scalability Pavel Grishin Checklist for FinTech Product Growth: Channels, Trends, and Tools by Denis Edemskiy Checklist for FinTech Product Growth: Channels, Trends, and Tools Denis Edemskiy Protect People From Themselves: Reducing Default Risks in P2P Lending by Alexander Koptelov Protect People From Themselves: Reducing Default Risks in P2P Lending Alexander Koptelov Cybersecurity Cybersecurity Unmasking VEILDrive: Threat Actors Exploit Microsoft Services for Command & Control by Hunters Cross-Site Scripting (XSS) Vulnerabilities: Testing Strategies and Examples by Konstantin Sakhchinskiy Intro to Digital Fingerprints: Understanding, Manipulating, and Defending Against Online Tracking by Konstantin Sakhchinskiy Unmasking VEILDrive: Threat Actors Exploit Microsoft Services for Command & Control by Hunters Unmasking VEILDrive: Threat Actors Exploit Microsoft Services for Command & Control Hunters Cross-Site Scripting (XSS) Vulnerabilities: Testing Strategies and Examples by Konstantin Sakhchinskiy Cross-Site Scripting (XSS) Vulnerabilities: Testing Strategies and Examples Konstantin Sakhchinskiy Intro to Digital Fingerprints: Understanding, Manipulating, and Defending Against Online Tracking by Konstantin Sakhchinskiy Intro to Digital Fingerprints: Understanding, Manipulating, and Defending Against Online Tracking Konstantin Sakhchinskiy (Pretty impressive, Konstantin Sakhchinskiy !) Konstantin Sakhchinskiy Data Science Data Science Outlier Detection: What You Need to Know by Natalia Ogneva QA Checks for Big Datasets With Deequ & Statistical Methods by Akshay Jain Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory by Andrey Kustarev Outlier Detection: What You Need to Know by Natalia Ogneva Outlier Detection: What You Need to Know Natalia Ogneva QA Checks for Big Datasets With Deequ & Statistical Methods by Akshay Jain QA Checks for Big Datasets With Deequ & Statistical Methods Akshay Jain Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory by Andrey Kustarev Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory Andrey Kustarev And that’s a wrap! What did you think? Any surprises here? Let us know, and see y’all throughout 2025! Read More About HackerNoon’s (and the HackerNoon Community’s) 2024: HackerNoon Decoded: How Users Searched in 2024 HackerNoon Decoded: The Polls that Defined 2024 HackerNoon Coded: The Top 10 Countries Where HackerNoon Is the Most Active HackerNoon Partnerships, Decoded! Welcome to HackerNoon Decoded: The Best of 2024 HackerNoon Decoded: How Users Searched in 2024 HackerNoon Decoded: How Users Searched in 2024 HackerNoon Decoded: The Polls that Defined 2024 HackerNoon Decoded: The Polls that Defined 2024 HackerNoon Coded: The Top 10 Countries Where HackerNoon Is the Most Active HackerNoon Coded: The Top 10 Countries Where HackerNoon Is the Most Active HackerNoon Partnerships, Decoded! HackerNoon Partnerships, Decoded! Welcome to HackerNoon Decoded: The Best of 2024 Welcome to HackerNoon Decoded: The Best of 2024

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ஹேக்கர்நூன் டிகோட் செய்யப்பட்டது: மேலும் அதிகம் படிக்கப்பட்ட வகைக்கான விருது இதற்குச் செல்கிறது...

“HackerNoon Decoded”: Iň köp okalýan kategoriýa üçin baýrak ...

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From WhatsApp to Web3: How Kaia is Turning 200M Asian Users into Crypto Natives

От WhatsApp до Web3: Как Kaia превръща 200 милиона азиатски потребители в Crypto Natives

হোয়াটসঅ্যাপ থেকে ওয়েব 3 পর্যন্ত: কাইয়া কীভাবে 200 মিলিয়ন এশিয়ান ব্যবহারকারীদের ক্রিপ্টো নেটিভগুলিতে পরিণত করছে

De WhatsApp a Web3: cómo Kaia está convirtiendo a 200 millones de usuarios asiáticos en criptonautas

Dari WhatsApp ke Web3: Bagaimana Kaia Mengubah 200 Juta Pengguna Asia Menjadi Pengguna Kripto Asli

WhatsApp から Web3 へ: Kaia が 2 億人のアジア ユーザーを暗号通貨ネイティブに変える方法

WhatsApp-დან Web3-მდე: როგორ აქცევს კაია 200 მილიონ აზიელ მომხმარებელს კრიპტო მკვიდრებად

Go tloga go WhatsApp go ya go Web3: Kamoo Kaia e Fetošago Badiriši ba 200M ba Asia go ba Ma-Crypto Natives

WhatsAppmanta Web3kama: Imaynatataq Kaia 200M Asiamanta Usuariokunata Crypto Nativokunaman tikrachkan

От WhatsApp до Web3: как Kaia превращает 200 миллионов азиатских пользователей в криптоаборигенов

Från WhatsApp till Web3: Hur Kaia förvandlar 200 miljoner asiatiska användare till kryptoinfödda

ካብ ዋትስኣፕ ናብ ዌብ3፡ ካያ ከመይ ጌራ ን200M ኤስያውያን ተጠቀምቲ ናብ ተወለድቲ ክሪፕቶ ትቕይሮም ኣላ

Từ WhatsApp đến Web3: Kaia đang biến 200 triệu người dùng Châu Á thành người bản xứ tiền điện tử như thế nào

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Frankly’s Stories on HackerNoon

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