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Hi everyone! 👋
I’m Emil, a self-taught solo game developer from Sweden building indie games, frameworks, and developer tools under Kadmium.
I’ve spent 20+ years behind the keyboard working across low-level C++, C#, and Unreal Engine. Coming from a background without a formal CS degree (mostly hands-on trial, error, and endless curiosity), game dev has always been my main driver. Along the way, I ended up building my own dev tools and frameworks out of sheer necessity, giving me a deep appreciation for clean architecture, zero bloat, and raw performance.
What I’m currently working on:
You can check out the catalog, dev tools, and experiments over at kadmium.dev.
When I’m not deep in Visual Studio or Unreal Engine, I’m usually playing games, building custom PCs, practicing guitar and violin, or spending quiet time with my wife.
I joined DEV to share some devlogs, technical takeaways from solo development, and connect with other creators who appreciate focused, handcrafted tooling and game engineering.
Feel free to say hi or drop a link to what you’re currently building!
Read the Context Packer post - the username masking on export is the kind of thing you only add after it leaks once.
You list the LLM prompt bundle as a bonus use case and I think it is the main one now. Which makes the three-million-character chunking the interesting number: past that the model reads your pieces separately and loses the relationships the directory tree was there to preserve. Bad architecture used to slow humans down. Now it decides whether the next agent can see the whole thing at all.
Do you pick the chunk boundaries by size, or by something structural?
Thanks! Glad you liked it!
I will post a more in-depth technical soon, and on GitHub but in short the chunk boundaries is set by token/character size for each file set by the user (defaults to 30k) the packer engine collect all files you selected in a async thread and on pack completion sends out a warning list displaying each file breaking the set maximum rule but the .txt output is packed and ready to use to avoid blocking the UI/UX.
Edit : grammar + Also there is a built in file max token size that splits the output into parts, but it was hardcoded into the engine. Before the i upload the technical post I will expose it to user settings.
Both of those checks are per file. A file fits, or it gets flagged. Neither one looks at which files end up in the same part.
Two files under your 30k, split across part 1 and part 2, and the model reads the caller without the function it calls. Nothing warns you there, because neither file broke a rule.
When you expose the max in settings, does anything try to keep a file with its imports?
Hi everyone! I’m Emil. I’m building CARDIAC-PURR, working on AI infrastructure, LLM routing, GPU optimization, and reliable AI systems.
I joined DEV because I’d like to share what I’m building, learn from other developers, and have some real conversations about what actually works in production.
Looking forward to meeting other people working on AI, agents, and infrastructure.
Read your router writeup - the 100 questions were labeled by expected tier before the router ever saw them. So it gets scored on queries whose complexity was knowable up front.
I do not route for coding work, for that reason. You cannot tell from the request which step is the hard one, so the cheap model costs you in the exact place it mattered. A support queue is probably the one workload where the tiering does hold.
How often does the escalation net fire, and does the double call still come out ahead when it does?
Hey Emil, welcome! LLM routing is directly relevant to what I'm building an AI pipeline for producing digital products on a tight budget (under $50/mo). Curious how you handle the cost/reliability tradeoff: do you route by task complexity, or is it more about redundancy/failover between providers? Would love to read more about CARDIAC-PURR.
Welcome to DEV, Emil! 👋
CARDIAC-PURR sounds like a fascinating project, especially the focus on LLM routing, GPU optimization, and building reliable AI systems for production. These are areas where practical experience can make a huge difference.
Looking forward to following your work and learning from your insights. Wishing you all the best with CARDIAC-PURR!
Welcome!
Hi, I'm Yimmie, a backend developer from Germany. PHP and Symfony/Laravel, and mostly the work nobody volunteers for: old codebases that are still in daily use, moved onto a current framework without taking them offline. Alongside that, a WooCommerce shop I have looked after since 2017, which teaches you things a greenfield project never does.
Lately I have been reading the MCP spec more than is healthy and building a small scanner for remote MCP servers. Almost none of the failures are new. It is OAuth and multi-tenancy again, except the client is now a model that will cheerfully follow instructions someone hid in a tool description.
Here to write some of that down and learn from the community. 👋
Read the confused-deputy post. You already say the failures are not new, so the part worth pushing on is your own exception: the client is now a model that follows instructions someone hid in a tool description.
That breaks the deputy framing rather than extending it. Every fix in the post lives on the server, and a server that validates audience perfectly still cannot tell an injected request from a real one - the model is a legitimately authorized caller asking for something it was allowed to ask for. The deputy you can fix is the server. The one actually being confused is the client, and OAuth has no opinion about that.
Do you scope tokens per tool call, or is that where it stops being tractable?
You are right, and I think I put two different deputies into one sentence.
The one my post fixes is the server: audience validation, per-call authorization, own credentials downstream. My reference server does the last one with a token exchange rather than passthrough, so the downstream audit trail names the right actor. None of that touches the second deputy. An injected call arrives carrying a token that passes every one of those checks, because it is a legitimate caller asking for something it is allowed to ask for. Server-side authorization has nothing to say about it.
On your question: I scope per capability, not per call. A token carries notes:read or notes:write, every tool checks its own scope before it runs, and a read-only token cannot write no matter what the tool description talked the model into. I do not mint a token per invocation with the arguments bound in.
The nearest thing the spec offers is the step-up flow in the 2026-07-28 revision: 403 with error="insufficient_scope" and the scopes the operation needs, so you can hand out a narrow token at login and demand a fresh grant for the expensive call. My server does not do that properly yet. It raises insufficient_scope as a JSON-RPC error instead of the HTTP challenge, which means a client cannot step up, it can only fail. That one is mine to fix.
But even done right I do not think it answers your point. Per-call scoping shrinks the blast radius, it does not restore intent. Authorized for files:write, talked into writing the wrong file, every check still passes. What actually bites there sits outside OAuth: human confirmation on the consequential tools, treating tool metadata as untrusted input rather than configuration, and being careful about which tools an agent can chain in one session.
Where it stops being tractable, for me, is the moment the answer depends on what the model meant. I do not know how to check that from a resource server, and I am wary of anyone who says they do.
Untrusted input is the one of those three I cannot see a mechanism for. Everything reaching the model arrives in the same window: the tool description, the document, and your instruction to distrust the tool description. Marking something untrusted means writing another sentence, and the injection is a sentence too.
The other two are code you can point at. A confirmation either fires or it does not, a tool is in the session or it is not. Where does the untrusted flag actually live?
Welcome Yimmie. The tool description point is the one that keeps coming up for me too. I run a directory of MCP servers and scan the listed ones once a week, and the pattern is the same as you describe: the interesting failures are not exotic, they are auth and tenancy mistakes that would have been caught in any normal API review, plus the new twist that instructions in a description get executed by a client that does not know it is being social engineered.
One thing I learned the hard way: a generic static scanner score is close to useless on MCP server repos. It flags the harness and misses the thing that matters, which is what the server can reach and what it will do when told to. I ended up reporting reach instead of a grade.
Curious what your scanner treats as a finding. Do you check descriptions for injected instructions, or the transport and auth side first? Would read that write-up.
Hello from a tiny security tool with a goat mascot 🐐 We're RedCapra — pentest reporting without the spreadsheet misery, built by a solo founder in France (with an AI pair-programmer doing the night shifts, which we write about honestly). First post here was the story of auditing our own AI agent's config — it failed its own audit, which felt too good not to publish. Here to read war stories and share ours. 👋
Saw the config audit post - the blanket shell allow got there because someone clicked allow to make a prompt go away. That is how all of these files get written.
At work I get nervous handing an agent a dev Kubernetes cluster. On my own machine the same tool has full shell, and I have never once opened the settings file it has been appending to for months. Same person, two threat models, and only one of them ever gets audited.
Grepping for
Bash(*)tonight."Clicked allow to make a prompt go away" is exactly the mechanism — nothing in that file arrived as a decision. It accreted, one dismissed prompt at a time, and the audit was the first moment anyone had actually decided anything about it.
"Same person, two threat models, and only one of them ever gets audited" is a sharper one-liner for it than anything in our post. The work cluster gets scrutiny because it has an audience; the laptop config has an audience of one, until an incident gives it a bigger one.
If the Bash(*) grep turns anything up tonight, that's a war story we'd honestly love to read.
Found it, and not where I was grepping. The bare Bash allow is in the repo of the agent that runs unattended all day, committed four months ago in the same commit that first wired the loop up. I have not opened that file since.
The duller one is worse. Another project has 159 allow rules, and two of them are Bash(python3:) and Bash(bash:). Both read like narrow grants and each one runs anything. A grep for Bash(*) never finds those.
Ran this against our own setup after reading it — 21 settings files, user scope plus every repo. Clean on the specific bug, but your grep point is the part that generalises.
The reason Bash(python3:) and Bash(bash:) hide is that they're shaped like every legitimate narrow grant, so no wildcard search finds them. What worked for me was matching on the first token against a list of things that execute arbitrary code — bash, sh, python, node, npx, deno, ruby, perl, env, xargs, find, ssh, docker, make. Any of those in position one and the rest of the rule is decoration.
Our near-miss was a different shape of the same mistake. Sixteen repos carry Bash(powershell*ops\dev.ps1*) — meant as "only our ops script". But the wildcard sits between the interpreter and the script name, so if the matcher treats * as general, powershell -Command ops\dev.ps1 satisfies it. It's either an arbitrary-execution grant or a rule that has matched nothing for months, and I can't tell which without testing the matcher.
Which is the uncomfortable bit: I could enumerate the rules, but I couldn't tell you what they permit without experimentally poking a live gate. Wildcard position is doing load-bearing security work and it isn't legible from reading the file. If anyone has actually characterised the matcher semantics, I'd take that over my guessing.
Hi. I’m Sreeragh, a product engineer in Kochi. I’m building Zilobase.
I turn rough ideas into working software. The job usually includes product decisions, interface work, code, and removing whatever turned out not to matter.
Most projects start with a small annoyance or a question I can’t leave alone. A sketch becomes a prototype; the prototype either becomes useful or explains why the idea was bad. Both results count.
Current interests include AI agents, local-first tools, knowledge systems, and open source. This list changes whenever a new rabbit hole wins.
Agreed on the mythology. I would draw the line differently though: not everything deserves understanding.
I run one agent loop whose code I have never read, built and maintained by another agent, and that is fine because a bad result there costs me nothing. On anything that matters I write the hard parts myself. Keeping responsibility is what forces me to actually read it.
So the question is less what to understand and more what to own.
I’ve actually started leaning more into the “agent loop” norm recently. Once you cross a certain scale of code, I’m not sure it’s even humanly possible to retain meaningful context over everything. I’m at around 750k+ lines across some of my work now, and at that point I genuinely start losing track of shit 😅.
So I think the question becomes less “do I understand every line?” and more “do I understand and own the parts that actually matter?” That distinction has been becoming much more important to me lately.
I would draw it somewhere other than scale. At work the codebase is way past what anyone holds in their head, and the parts I own I still read, because I am the one answering when they break.
750k tells you what you cannot keep track of. It does not tell you which parts matter, and that list is usually short and unrelated to the line count.
The current interest never stays the same, the moment a new obsession knocks you find yourself diving deep into it
Hey all,
I'm Dan. Software engineer by day, and the rest of the time I turn my hobbies into apps: an ancient-coin museum, a stamp-centering grader, and a traveler.
I build the whole thing with heavy AI collaboration and own the result.
Fun fact: I have over 100,000 stamps, which is less a hobby and more a cataloguing problem I'm slowly solving with code. Here to write some of it down and see what everyone else is shipping. 👋
Read the coin-museum post - returning source keys and dropping the ones that do not resolve is the cleanest version of this I have seen. Same instinct as validating a step output against the allowed values before anything downstream reads it.
The part it does not reach: a resolved key proves the citation exists, not that the sentence attached to it says what the source says. The model can hang a real URL off an invented claim and the pipeline passes it.
Have you caught one of those yet, or does the one-call-per-world framing keep it honest?
Good question. You went straight to the part I don’t have solved.
Exactly right, and that’s the seam I’d flag too. The pipeline guarantees a structural property, not a semantic one.
What it does hold: the model never writes a URL or a catalogue number. It can only pick a key from a fixed catalogue the code owns, and unknown keys get dropped. The facts themselves are my own imported data, not model output, so it isn’t inventing the underlying fact either. It writes the story around a set of facts and citation targets it didn’t choose.
What it does not hold: that the sentence next to a resolved key is actually entailed by what that source says. A real key hung off a subtly wrong claim sails straight through. That’s the exact failure the structural check can’t see.
The one-call-per-world framing helps a little, because the model can’t wander to a coin or a source that isn’t in that world’s set, so it can’t cite something unrelated. But it’s containment, not verification. It keeps it honest about which sources exist, not about whether the claim matches them.
So, honestly: no, I don’t have an automated catch for that class yet. It’s why every deep-dive page is still marked review-pending rather than trusted. The next real step is a verify pass, re-read the source behind each key and grade whether the claim is supported, adversarially, before it can publish. Right now that grader is me, not code.
Watch what you let the verify pass return. Supported or not supported hides two different failures: the source contradicts the sentence, or the source simply does not mention it. The second one is where your subtly-wrong claims sit, and a grader asked "is this supported" will pass anything plausible that the source is quiet about.
Does it get a third answer for "the source does not say"?
Hi all 👋
I'm Siddharth, from Delhi-NCR. Telecom guy — currently spending my days on Voice AI and contact center stuff at pretty large scale.
Curious question for the room: for anyone running LLMs in production, what surprised you most between the demo working and real users hitting it?
Glad to be here.
The thing I did not see coming: a model stops following rules that are still sitting right there in the system prompt. Demo conversations are short so it never comes up. Real ones run long, the context fills with history, and it drifts off instructions it read at the start.
I run a game where models play a long social-deduction round against people, and one hallucinated rule ruins it for everyone at the table. What fixed it was giving up on the system prompt as the place rules live. Each step I compute the exact slice of rules that state needs and inject it as the last message, so it never has to go looking through the whole context to find the thing it should be following.
An LLM deciding the user is using the wrong model of an application and decided to guide based on that model, even though the user told the model the version they were using, the model kept defaulting back to the older one without any warning
Hi all, Adrian from Poland.
I build and self-host n8n automations for clients, mostly small manufacturing companies.
Ended up here because I started parsing public workflow repos to answer a question about reliability, and kept finding things nobody meant to leave in there. Figured this is a decent place to write those up.
Python, Next.js, Postgres, and lately more git archaeology than I planned on.
Read the n8n writeup - counting by name gives you a perfectly normal-looking number that happens to be wrong by 92%.
My version: a daily report I run stopped counting new users. It had been broken eight days before I noticed, and every number in between was wrong. The reports arrived on time the whole while. What caught it in the end was me doubting one of the numbers.
Welcome Adrian. "Things nobody meant to leave in there" is most of what I find too. I crawl a directory of software tools for facts about each site, and the surprises are never the deliberate choices. They are the defaults: a robots.txt rule that came with the hosting plan, an llms.txt that a parked domain serves because the aftermarket page ships one, a pricing page from two versions ago still live on the old path.
Public n8n workflows sound like a richer version of the same thing, since people export them with the credentials names, webhook paths and comments intact. I would read those write-ups.
What did the reliability question turn out to be? Retry and error handling in the workflows themselves, or whether the things they call are still there?
How is poland doing today ?
Hi DEV 👋
I'm Bob, a solo founder building out of mainland US.
Two things eat my days: bavior.com — it tracks whether a product actually gets mentioned when people ask ChatGPT or Perplexity for recommendations, then works the Reddit threads those answers keep citing — and livegen.ai, real-time AI video generation, running on Next.js + OpenNext on Cloudflare Workers.
The part I didn't expect to spend most of my time on: making generated text stop sounding generated. Reddit readers and mods spot AI writing in about one sentence, so a big chunk of Bavior ended up being a humanizer pass and ten tone profiles built from real corpora. The model was never the hard problem. The voice was.
Here to write up the unglamorous parts — multi-agent orchestration that survives production, fingerprint/proxy infra, and what quietly breaks when you ship alone.
What's everyone else building right now?
I would guess a lot of your win came from a dumber layer than tone profiles. I take every em-dash out of anything I publish now, by hand. One dash is all it takes for someone to shout AI, and that is the whole read most people are doing.
Does a tone profile built from real corpora actually beat a find-and-replace list on the ten obvious tells, or do both just clear the same reflex?
Hi DEV 👋
Found this community while looking for places where engineers actually talk about the craft not just tutorials and hot takes.
I'm Aditya. Based in Ahmedabad, India. Spent the last 10+ years building ML and data systems healthcare, finance, procurement the unglamorous but genuinely hard problems where the data is messy, the stakes are real, and "move fast and break things"
I’m especially interested in AI engineering, software architecture, developer tooling, and the evolving relationship between humans and AI while building software.
I’ll be sharing some of the things I’m learning, building, and occasionally getting wrong along the way.
Hope to learn and contribute to the community.
Welcome to DEV, Aditya! 👋 Great to have experienced ML engineers here. I'm also based in India and focusing on Full-Stack Python and AI engineering. Looking forward to reading your posts and learning from your 10+ years of building real-world systems!
Thank you very much for the welcome. Looking forward to connect and collaborate.
Hi! I'm a beginner and genuinely interested in this. Would love some guidance if you're open to it!
Sure let's connect
Hello Dev.to community!
My name is amir Bassir, and I'm a PHP developer. I've built a fully custom, intelligent PHP framework from scratch, along with a dedicated template engine that doesn't rely on any external libraries.
One Power Framework
A
modular,container-basedPHP framework with built-in AI capabilities.Key features:
Nova Template EngineA fully custom template engine that works seamlessly with HTML, JavaScript, and Alpine.js. No Twig, Blade, or Smarty dependencies.
I'm excited to share more and learn from this amazing community.
PHP #Framework #TemplateEngine #OpenSource #Developer #Nova #OnePowerFramework
👋 Hey everyone!
I’m Arjun, a developer and founder working on OneEnv.
I started building it after dealing with a problem that became painful as our team and number of repositories grew: shared environment configuration across multiple services.
A small configuration change can sometimes raise a lot of questions:
OneEnv is my attempt to make these changes more visible and controlled.
I’m here to learn from other developers, share what I’m building, and hopefully contribute to the community along the way.
Looking forward to connecting with everyone! 🚀
Hi everyone — I realized I've been writing here for a while without properly introducing myself.
I'm a software engineer and consultant based in Tokyo.
In my spare time, I build Legacy Tools, a collection of free, small browser tools designed to help with everyday online mistakes — especially around privacy, suspicious links, and safer decisions for older users and their families.
I've shipped several Chrome extensions so far, and I write here about what I learn from actually building, publishing, and trying to get people to use them.
Lately, I've been thinking a lot about one question:
Building software is getting easier. But how do you earn enough trust for someone to actually use it?
What are you working on right now — and what has been harder than you expected?
Hello, I'm Valentyn Ivanov, a C++ developer specialising in various gamedev technologies (rendering, networking, ECS, you name it) and in architecting cross platform apps with C++. Here to learn and share knowledge.
Hey Valentyn I am also a C++ enthusiast I mainly used it for basic software and some CLI tools but game dev is an entirely new field for me
hope to see what cool stuff you create!
Hey everyone! 👋
I’m Arjun, a developer building OneEnv.
I started working on it after seeing how messy shared configuration can become when a team has many developers and services. A simple environment change can have unexpected effects on other services.
I’m joining DEV to learn, share what I’m building, and get feedback from other developers.
Happy to be here! 🚀
Hi all, I'm Dave. Mobile AR and on-device ML: face tracking, video editing, Web AR, mostly iOS and Android with some React Native. I mainly test this stuff on old mid-range phones rather than flagships, because that is what the people using it are actually holding. Here to write some of that down and to read what everyone else is shipping.
Welcome to DEV, Dave 🥰
Hi. My name is Lukas. I come from a traditional sysadmin background with lots of experience in Linux administration. I love tweaking homelab server setups in my free time. Lately, I've been challenging myself to bridge my Linux skills with Azure cloud architecture and Kubernetes, so I'm here to push my boundaries, build practical tools, and learn from everyone.😀
This is a great way introducing yourself on the platform - setting up a checklist for signup lol. I just got started with this platform.. Hopefully will build a great community and will post about my researches.. tools I am making and so much more <3
Hi all 👋 I'm Jean, joining from the building-in-public side of things.
I'm working on Klatos, a habit tracker I'm building to make slow progress visible. The part I'll probably end up writing about here is the infra: I'm self-hosting the whole stack on Kubernetes.
Here to learn from people further down that road, and to share what I break along the way. Glad to be here.
Hey 👋
Hey Ihar 👋 thanks for the welcome. You building something too, or mostly here to read?
Hi from CodeAnt AI 👋 We build security tools, break software, and occasionally discover that the most interesting bug is hiding somewhere nobody thought to look.
Our security team spends a lot of time poking at APIs, AI agents, developer tools, and the assumptions sitting underneath them.
This is where we’ll share the interesting stuff: real vulnerabilities, exploit paths, technical deep dives, and the occasional “wait, can we actually do that?” moment.
Hi everyone! 👋
I’m part of Invendo AI Academy and interested in AI, Machine Learning, Python, and Generative AI. I’m here to learn from the DEV community, share what I learn, and connect with other developers. Looking forward to being part of the community!
Hi there. I'm a full-stack engineer, new here. I've been vibe coding new browser extensions and dashboard apps with AIs. Please check out the articles on my blog and try out the products. It's baffling how good the AI Agents are at building end to end software. You can hire me too for your projects and if want to build anything!
Hey everyone, Liam here 👋 Happy to join the DEV community.
I spend my days building web apps and trying to automate the boring parts of my job. I'm usually hacking on some random weekend project or trying to figure out why my code suddenly stopped working.
Honestly, I'm just here to hang out, read and write some good articles, and chat with folks building cool stuff.
What's everyone working on this week?
Hi I'm Anshu from ZyVOP (zyvop.com) where you can write or import your article, publish it to Dev.to, Hashnode, Medium, and WordPress, promote it on Bluesky and Mastodon, control your preferred source, and see which channels bring readers back. Please let me know in the comments :)
Hello, my name is Vika, I knew about this website, but never made an account for it. I chose this one because I came across a lot of high-quality articles about programming, all from here. I needed a place where I can showcase my technical expertise and help other specialists avoid wasting endless time searching for the technical information they need.
Hey everyone! I’m a software engineer and independent architecture advisor. I’m here to connect with other builders, learn from how people are designing and scaling their systems, and share practical thoughts on software architecture, tradeoffs, and keeping systems maintainable.
Hi! I am Ana. Got to know about this website on linkedin and i felt it would be great to connect with more builders. I am in the journey to improve my coding skills so that i do not fear during technical interviews .
Welcome to DEV Ana!
Hello, my name is Lean Flower, and you can call me Lean. I like small scripts that can solve problems with manual workflows. Hm, so um, I built a product that can help people avoid wasting time on manual workflows. Yeah, I built it with Python, and I look forward to receiving your guidance!
Hi All! hello hello, 😄
I looking for entheusiastic Developers, who are ready for the next step. With a lot of Vibe coding companies, new kind of developers needed. Developers who help companies who have vibe coded the whole platform. That is one thing I want to achive, with Blockchain 4 Talent. If you have any questions about this? Let me know, Im here for you.
Cheers.
Hi everyone 😀
A big welcome to all the new members, and welcome back to everyone who is returning. It is so nice to have you all here. I hope you have a great time, make some meaningful connections, learn lots of new things, and enjoy every step of your journey.
Looking forward to seeing you around and chatting with you in the comments. Wishing you all the very best, and I hope you enjoy being part of this wonderful community 💙
Hi everyone, my name is Paul 👋
I'm a Java/backend developer working mostly with SQL, JDBC, Spring and Oracle.
I joined DEV to share small tools and solutions that come out of real debugging and support work, and to learn from other developers.
I'm especially interested in Java, backend development, SQL and developer tooling.
Nice to meet you all!
Hello! I’m John Francis, a Website Designer, Social Media Manager, CRM Expert, and AI Enthusiast. I’m passionate about creating effective digital experiences, helping businesses improve their online presence, and exploring how AI and automation can make everyday business processes smarter and more efficient.
Sou o Guilherme, estudante de Ciência da Computação e desenvolvedor Python. Comecei mexendo com automação dentro de um escritório de contabilidade, onde vi processos manuais tomando horas do time — e percebi que dava pra resolver boa parte disso com código. De lá pra cá venho me aprofundando em backend, APIs, bancos de dados (SQLite/PostgreSQL) e agora explorando Flask e IA aplicada.
O que me trouxe aqui foi vontade de trocar ideia com quem também tá construindo coisas na prática, aprender com a comunidade e, claro, compartilhar o que vou descobrindo pelo caminho. Curiosidade sobre mim: prefiro aprender construindo — gosto de montar projeto completo, testar, quebrar e ajustar até funcionar de verdade.
Hoje estou em busca de uma oportunidade de estágio, então se alguém quiser trocar dicas sobre backend, automação ou tiver alguma indicação, tô super aberto! 🚀
Hi I'm a newcomer who just registered, I'm so happy to join this vibrant tech-sharing community.
Right now, I'm exploring and learning all kinds of interesting development technologies. I hope to document my growth journey here, exchange ideas and learn with everyone, and connect with like-minded tech friends!
Nice to meet you all! ✨
Hi! My name is Pablo. I have worked mainly on start ups for 6 years. I decided to start writing dev blogs as a way to keep learning new skills. I just published my first entry ever, didn't know it could be that fun!
Currently learning more about Rust and Linux.
Hi there! 👋 I'm Pravin Prabhu, a software engineer with a deep passion for architecting and building scalable enterprise applications. I'm currently part of the team at DigitalTeamz, where I work on everything from backend microservices to complex desktop and mobile interfaces, developer utility tools etc.
Hey everyone, I'm Jarvis! 👋
I'm a developer and indie builder passionate about web performance, JavaScript, and building clean, lightweight tools.
Really excited to officially join the DEV community, connect with fellow developers, and learn from everyone here.
What cool project or tech stack is everyone currently working on? Looking forward to connecting! 🚀
Hey everyone! I’m David. Long-time enterprise delivery lead stepping into the founder seat with The Art of Delivery (artofdelivery.io), where I'm building tools to replace subjective status reporting with hard SDLC telemetry.
Here to hang out with developers, talk real engineering bottlenecks, and learn from how everyone here ships software. Great to meet you all!
Bonjour
Je suis étudiant en systèmes informatiques et logiciels licence 2 en apprentissage
J'ai intégré cette communauté grâce Claude ia, l'IA pense que ce site est un lieu où l'on trouve des contributions authentiques, alors j'espère que c'est le cas. Au plaisir d'échanger et d'apprendre ensemble.
Hi everyone! 👋 I'm a solo developer and just joined — actually published my
first post here this week. Most of what I build lives on the edge: my current
project runs entirely on Cloudflare Workers, with the heavy GPU work offloaded
to Modal, which pushed me into some genuinely fun async/webhook architecture I'd
been wanting to write up. Lately I'm nerding out on WebCodecs (doing media
conversion fully in the browser, no uploads) and all the little quirks of
shipping without a traditional Node backend. I'm here to share what I learn the
hard way and to steal good ideas from the rest of you. Fun fact: my best
debugging happens on long walks, nowhere near a keyboard. Say hi if you're also
into edge / serverless stuff — I'd love to compare notes!
Hi everyone! I'm a Senior Frontend / UI Developer with 9+ years of experience working with Angular, React, JavaScript, TypeScript, HTML, CSS, and Bootstrap. I'm here to connect with other developers, share projects, learn new things, and contribute to the community. Currently working on SaaS and frontend projects. Looking forward to meeting everyone! 👋
👋 Hi everyone!
I'm karthik, and I'm just starting my journey into data analysis. Excited to be here and learn alongside this community!
A bit about me:
🔹 Currently learning: SQL (just getting started!)
🔹 Goal: To become a data analyst
🔹 Next up: Python, data visualization tools (Tableau/Power BI), and building portfolio projects
Why I'm here:
I want to learn from people further along in their data journey, get feedback on my progress, and hopefully find some accountability along the way. Feel free to say hi — always happy to connect with others learning SQL or breaking into data analytics!
Looking forward to being part of the community 🚀
Hi I am Dulasi Nethma AI Software engineer , I built production ready systems which is big advantage for the business world and currently in Dubai , I came to to this dev in order to exchange the knowledge . Thank You
Hi！I’m interested in AI, image processing, and practical creative tools. I write about AI-powered image enhancement, photo upscaling, and workflows that help developers and creators get better results from their images. I also share tutorials, experiments, and insights from building with AI.
AI Image Generator vs Photoshop explained in simple language. Compare features, benefits, real examples, pricing, workflow, use cases and expert advice, plus discover Xelta AI's creative advantage in 2026.
Hi, I am Archit , Ai software Engineer. I do Research and development in Ai and love to build new products and features and want to outsmart myself everytime I build something. recently I built toolsholic.com , There is no backend. The site is a static export on a CDN and every tool runs in the browser — pdf-lib and pdf.js for documents, Canvas and the File API for images, Web Workers for anything slow. It works with the network disconnected, which is the simplest way to check the claim.
Hey all! I’m Harshitha, a SQL Server Developer with 4+ years of experience, and I'm currently expanding my horizon into the data engineering space. I joined Dev.to to share clear, practical guides on everything from core database fundamentals to data engineering concepts, making complex data topics accessible to everyone. Excited to connect with fellow developers, data enthusiasts, and writers here😀!
Hola a todoss, como estan, me llamo Valentin soy estudiante de Lic. en sistemas, estoy en segundo año, no tengo nada de experiencia en el mundo de IT. Me uní a DEV con la intención de aprender de las experiencias de otras personas, si puedo aconsejar de lo que o sepa y ser aconsejado.
Hey everyone, I’m Filippo from Germany.
I’m a solo founder building software, AI systems and automation through Vektor51Media. I’m currently working on xoobz and RepoPolicyScore.
I joined DEV to learn from other builders, share what I discover while building and get challenged when my thinking or implementation is wrong.
Good to meet you all..!
Hey everyone! 👋
Excited to join the DEV community! I'm currently working on full-stack AI development and building CLF AI Gateway (clfaigateway.dev) to optimize multi-LLM workflows. Also diving deep into AI-assisted coding tools like Cursor.
Looking forward to connecting with fellow builders and learning from everyone here! 🚀
Hey Anthony! 👋 Great to see another builder working on full-stack AI dev. I'm also focusing on full-stack Python with AI—looking forward to seeing your posts on multi-LLM workflows!
Hi DEV 👋
Victor Daniel here. Beginner in AI engineering and ML research, just starting out but genuinely excited about the craft. I care about AI engineering; how to build it, ship it, and make it work in the real world. Expect me to share what I’m learning, building, and occasionally getting wrong along the way.
Glad to be here! looking forward to learning from and contributing to this community!
Hi, I'm Inki. I found this website while searching where software engineers post whatever they learn, and this was one of the top choice, so I thought I'd give it a try.
I'm also hoping me regularly posting what I learn here will give me some leverage on today's job market.
Hi everyone!
I'm Murat, a backend developer from Ankara, Türkiye. I started with PHP, wandered through C#, Java and Kotlin along the way, and eventually settled in Python land, where FastAPI is my daily driver.
I joined to keep learning new things in my field, and to share what I've picked up along the way.
Looking forward to the #python and #fastapi corners. See you around!
Hello! I'm Ryu. I'm a software engineer in Japan. My primary focus is on backend product development, but I also work on frontend and infrastructure development. I hope to share articles that can be of some help to someone. I look forward to your support! :)
Hello, I'm Alan just graduated my masters in CS at UCB. Came to dev.to as I just started my first open source project and wanted to learn from others.
Fun fact: I was born and raised in New Zealand, we have 17 sheep per capita.
Hi!
My name is Miguel, I'm a team leader & software developer from Spain.
Currently working in hospitality solutions.
I know C, Java, PHP, JavaScript, Swift among other computer languages.
I have +10 years of experience now, but I'm here to learn and share experiences!
Hi Dev!!
Finally made an account here after years of reading posts off Google.
I’m a co-founder over at supero.dev. Not writing raw feature code every single day—most of my time goes into DevOps, infrastructure, product strategy, and finding our market fit without burning through capacity.
Planning to share some real notes here on scaling infra, founder lessons, and what we're learning as we build.
What’s everyone else building or working on lately?
Hey Srikanth — fellow founder here. I’m building Vasken Interactive Studios and just launched Kolaboratr, a creator collaboration platform, so the “finding market fit without burning through capacity” line definitely caught my attention.
I’m still in the very early stage of trying to get the first real users onto the platform, so I’m learning firsthand how different building the product is from actually getting people to use it.
Looking forward to seeing your posts on founder lessons and product strategy. What’s been the hardest part of finding market fit for supero.dev so far?
Hi everyone 👋
I'm Blesson, a solo dev working mostly in the browser with Three.js, canvas and SVG. Lately most of my time goes into export pipelines, and specifically the gap between what renders on screen and what actually lands in the exported file. Deeper rabbit hole than I expected.
Recent humbling moment: I was convinced I had three separate bugs in a Three.js scene. Rotation flinging shapes off screen, an explode effect with no real direction, and a sort that ignored the geometry entirely. All one cause. ExtrudeGeometry bakes path coordinates into the vertex data, so every mesh reported the same position while still rendering perfectly.
Glad to be here. Planning to read a lot more than I post to begin with.
Hi teammmmm!
I'm Ulysson, from Brazil. I'm a Logistics professional with a background in Data Analytics and Business Intelligence, and I'm currently studying Software Engineering, i joined this community to connect with other developers, improve my programming skills, and learn more about software development. I'm currently working with Python, SQL, Git/GitHub, Streamlit, and data projects.
I'm especially interested in combining my logistics experience with technology to build useful solutions.
Hey everyone!
I’m Noel, a developer and blogger from Bosnia and Herzegovina. I’ll be writing about tech, privacy, politics, law, and the weird questions hiding behind everyday things.
Happy to be here. Looking forward to learning, sharing ideas, and meeting some interesting people along the way.
Hi all — Rehman, joining from the Windows/Android side of things.
I maintain a catalogue of free and open-source software, which in practice means I spend most of my time on ingestion pipelines and binary verification: hashing, Authenticode, APK signing, and the surprisingly deep hole that is running any of that reliably on CI.
Currently nursing a grudge against PSModulePath.
Planning to write up a few of the failures rather than the successes — starting with a signature verifier of ours that passed its tests for four months by never actually running.
Glad to be here.
👋👋
Hi everyone! I'm Varun, working in DevOps automation and cloud governance. I work heavily with AWS, Azure, Terraform, and Kubernetes. Looking forward to connecting with other engineers, sharing experiences, and learning from this awesome community!
Hi everyone! I'm Chris, working in AI Saas. I work heavily with Next.js, Codex, and Claude. Looking forward to connecting with other engineers, sharing experiences, and learning from this awesome community!
Hey everyone! 👋 I'm Nicolas — I do web dev and split my time between a couple of projects: textConvert, a small open-source TypeScript library for text case conversion, validation, and PII redaction, and ToolFurnace, an AI tools aggregator site. Just started posting here to share what I'm building. Looking forward to seeing what everyone else is working on!
Hi everyone! 👋
I'm Haoran, excited to join the DEV Community.
I’m currently exploring cybersecurity, AI security, and modern enterprise defense technologies. Through my work at CyberServal, I’ve become increasingly interested in how security teams can better protect applications and data in an evolving threat landscape.
I’ll be sharing my thoughts and learnings about:
Web Application Security
WAF and application protection
Data security and emerging technologies
The intersection between technology and product innovation
Looking forward to learning from this community, connecting with developers and security professionals, and sharing ideas along the way.
Nice to meet everyone! 🚀
Hello everyone, this is my first comment, I just joined the community, and it hasn't been so long since I begin studying programming. Although I still call myself a beginner I already studied and mastered most of the necessary languages and things... I wish one day I'll be able to call myself a Full-Stack Developer instead of all those things, and that's all.
I literally getting bore after reading other article's & blog So, I also want to write myself and showcase my journey as well. Hey, Everyone - Nice to meet all of you. I like exploring new technology and like thing break more than build. This nature of myself put me in front of security. If anyone who is beginner like me in cyber-security - It is my pleasure to meet you.
🤖🤖
Hi everyone 👋🏽 I’m Jahan! I’ve been developing mobile apps for quite a few years and was looking for a community where developers actually talk, share, and help each other—and here I am! Looking forward to connecting with like-minded people, learning from you all, and sharing what I know along the way. 🚀
My name is Joshua
Thanks for welcoming me, my main Goal is to build a Portfolio and improve my skill, i recently just posted how i made my First Saas tool, a tool that check Website for basic security information.
You can whatsapp me@+2348144514422
Thank you
Hi Everyone,
Building privacy-first web tools at NoFileUpload. I create browser-based tools for image, PDF, video, and metadata processing that work locally without uploading files. Passionate about JavaScript, web development, performance, and online privacy.
Hey everyone my name is Ahmed Ishiba from Egypt
I am an undergraduate computer engineering student , I stumbled upon this community when I was searching for sites where I can showcase my projects as well as see what other engineers and hobbyists do for projects.
I mainly specialize in Embedded and firmware engineering as well as hardware, I am not a big fan of web dev or mobile apps but I do like game development and robotics hoping to see some cool creations here!
Hi there, I'm Ibrahim SEROUIS 👋
(You can call me "Ibrah" 🙂)
Background 🏫🎓
📫 How to reach me
Hi everyone!
I’m Huzaifa, a Computer Science student and developer from Pakistan. I’m interested in web development, cloud computing, and Generative AI.
Currently learning, building projects, participating in hackathons, and exploring open-source. Excited to connect with everyone and learn together!
Hi everyone! 👋 I'm Sabin, a software engineer from Romania. I mainly work with iOS and Swift, but I'm also very interested in reverse engineering, security, CTFs and low-level programming.
Recently I've been spending a lot of time exploring ARM64, Mach-O, Swift internals and devirtualization, while building some of my own reverse engineering tools.
I joined DEV to share some of what I'm learning and building, and hopefully meet others interested in similar areas. Looking forward to being part of the community! 🚀