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Welcome everyone to dev.to! Glad you are here! Hope you are having a great week so far! It's raining at the place I am at D:
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Feature Comment from last week thread!
Last week, I asked the community "What is the one project you are proud of? (I recommend creating a post about your project and sharing it in the comments!)" and here is one answer that stood out to me by @artemkozak where he built DockGraph!:
I Built DockGraph: A Live Topology Map for Docker and Compose
Question of the Week!
"What is the hardest bug that you have to encounter as a developer? Did you fix it?"
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Hi everyone! my name is Quang. I'm a machine learning engineer from Paris France.
Feel great to finally be here! Up until now I work mostly in startups. My specialization is in deep learning and machine learning/data engineering but my startup life has taught me well so I'm a bit many hats now =)).
Most recently I work on two projects: one is an AI canvas app named dim0.net (a bit like excalidraw combined with notion), the other is hexgate.ai which is about AI agent securization.
Besides coding I support Arsenal, Barca and play a bit of Age Of Empires.
Nice to meet everyone!
Hey Quang, welcome to DEV 👋
Thank you !!
Hey Quang, glad to connect! I’m on my ML journey right now, building projects and learning AI step by step. It’s awesome to come across someone experienced in the space. Looking forward to your posts. 😄
Hi Quang.
Hi Quang!
Hello! :)
Hi
hello!
Hello!
Hi! Thanks for all the help and articles to get started!
For me the hardest bugs are rarely the most complex ones but the ones you can't reproduce consistently and only show up under very specific conditions 😠
Recently we had a race condition in production. It never showed up in development or QA, only under real load. The hardest part was proving it existed. We eventually traced it to concurrent updates hitting the same resource and fixed it with proper concurrency controls.
This hits home. self taught here... trying out the blockchain dev journey to better understand crypto as an industry...the worst ones for me are the same flavor intermittent sync hangs that vanish the moment you try to reproduce them. Totally agree the hardest part is just proving the thing is real before you can fix it. Nice catch tracing it to concurrent updates welcome to DEV!
Helloo!
Welcome !
Welcome to Dev!!❤️
Thanks!!
Hey Axel! It's always the one that is hard to prove. Once the bug is there, you have to reproduce it to the best of your ability. Sometimes the bug shows up and never shows up again lol.
Thanks for sharing and welcome to DEV! :D
Thanks!!
Hallo 👋
Dogukan here — junior fullstack dev in Dortmund, Germany, fresh out of my apprenticeship. Stack: Java/Spring Boot, Angular, TypeScript.
Right now I'm building Kenning, a RAG app with Spring AI + pgvector + local Ollama, mainly as a portfolio project and a way to actually understand RAG instead of just using LangChain and hoping.
On the question of the week — building Kenning (my RAG app), I spent way too long convinced my Docker setup was broken, because nothing would start cleanly. Turned out two different Ollama instances were fighting over the same port the whole time — one I'd forgotten was even running. Classic "it's not broken, it's just two of my own processes refusing to share."
Hi from Poland! Mike — building jugeni (operator discipline for LLM work: locked decisions, drift detection, judgment truth). Joined to confront the framework against operators who actually ship with this stuff. Three days in, already grateful for the pushback.
welcome
welcome😘
Hi Mike!
Hey,
I found Dev.to awesome community, hope we can do great things together ^^
Hello
Hi everyone 👋
I'm Chinaemerem Nkwachukwu Nwachukwu — a cybersecurity engineer and founder based in Nigeria.
I build detection tooling and security infrastructure under Tinlance Limited, my AI and cybersecurity studio. My first article here covers ThreatFade, an entropy-based C2 detection engine I validated against real Merlin QUIC malware traffic. Before that I contributed Nigerian fintech credential detectors to Nuclei, TruffleHog, Semgrep, Gitleaks, and Slither — the gap in coverage for Paystack and Flutterwave patterns bothered me enough that I just fixed it.
I'm here to write about threat detection, building security products as a solo founder in Africa, and the actual engineering decisions that go into shipping real tools — not the sanitized version.
dev.to/nwachukwu_chinaemerem_f01/how-i-detected-merlin-quic-c2-traffic-using-entropy-and-z-scores-490k-packets-0-false-positives-mki
Looking forward to connecting with the security and open source folks here. If you're working on detection engineering, C2 analysis, or building SaaS from emerging markets, I'd love to talk.
Hey, welcome to DEV 👋
Impressive! Welcome
wow
Hey, welcome to DEV
Nice to meet you. I’m also here to learn and write more consistently. What topics are you most interested in?
omo how far na, your job dey great
Welcome!!!👋
Welcome aboard! Saw you're working with cybersecurity. I went down that same rabbit hole over the last couple of years and reached the HTB leaderboard. Happy to swap notes anytime.
Hey everyone, I’m Jack.
I’m working on AI developer tools and recently spending more time around LLM APIs, model routing, and practical AI app infrastructure.
I joined DEV to share small technical notes, learn from other builders, and write more consistently about what I’m building and testing.
Outside of work, I’m usually exploring new dev tools and trying to turn messy setup problems into simpler workflows. Happy to meet everyone here.
Hey Jack, welcome to DEV 👋
Do you have an active project? I am actively looking for testers and you said you are working on llm tools and apis etc.
I just released my app, PathMap and you can see the plain code. It has a humanitarian and clinical waiver for commercial use so depending on what you are doing, you may be able to use it as you can under the license.
Link's in my profile and if you have a public facing project, I am looking to get involved in testing as well. I am a.good reverse engineer so to speak.
I have no community and today is my first day here. Sorry if I wrote too much. Good luck and welcome!
Hey welcome!
welcome to DEV
Hey Jack,
Welcome to the community! I just joined today as well 👋
In my career, I specialized in turning messy problems into simpler workflows, as well!
Glad to have something in common 😀
Hi everyone - I'm Lavkesh, a senior engineer in Dallas working on cloud-native systems and AI. 15 years in and I still write my own code, which I think is the only real way to keep your judgment sharp. I write about what I actually build at lavkesh.com - cloud architecture, AI in production, distributed systems, and occasionally something that has nothing to do with any of that. On the question of the week: the hardest bug I've hit was a race condition that only appeared when two services crossed a Daylight Saving Time boundary at 2am on a Sunday under real production load. Three weeks to reproduce it deliberately. Yes, we fixed it. No, I'm not over it.
Hey Lavkesh, welcome to DEV 👋
Thanks @hemapriya_kanagala. What's your caffeine?
Coffee for me 😄
What about you?
Caffeinate agents (skills) right now for me
Wow. Yet another reason for everyone to just use UTC. Why does it need to be a certain time of day for the number we assign to it? 😅 That bug would've broken me.
UTC was not the problem. Both services used it correctly. The bug was in the scheduling logic - one service had to run at 2am local time by design, and the other assumed the timezone offset never changed. They were both right. Together they were wrong for one hour a year. That is why it took three weeks to reproduce deliberately.
Welcome. How do you define cloud-native systems?
Good question, because the term has been stretched to mean almost anything.
My working definition: a system is cloud-native if its architecture was designed around the cloud's actual characteristics namely - elasticity, managed services, ephemerality, pay-per-use rather than designed for on-prem and then migrated. The distinction matters more than people think. A system that runs in Kubernetes but was conceived as "always-on, single-region, stateful" is not cloud-native. It's just containerized. Cloud-native means you assumed from day one that instances die, that you pay for what you use so idle compute is a failure, that infrastructure is disposable and reproducible, and that scaling out is cheaper than scaling up. In practice it shows up in three places: how you handle failure (retries, circuit breakers, graceful degradation built in, not bolted on), how you deploy (infra-as-code, nothing exists unless it was provisioned deliberately), and how you observe (structured logs, metrics, traces from the start, not after the first 3am incident). The textbooks will give you a longer answer. I prefer the shorter one.
Hello everyone! 👋
My name is Divine, and I'm excited to join the DEV Community.
I'm currently building my skills in Cloud Computing, Networking, Azure, and Microsoft 365 Administration. I recently earned my Microsoft Certified: Azure Fundamentals (AZ-900) certification and have been documenting my learning journey through technical notes, GitHub repositories, and LinkedIn posts.
At the moment, I'm focused on:
I believe in learning in public, sharing what I learn, and connecting with others who are on a similar journey.
Looking forward to learning from the community, contributing where I can, and documenting my progress along the way.
Happy to connect with fellow learners, cloud enthusiasts, and IT professionals!
Hey Divine, welcome to DEV 👋
Thank you so much Hemapriya
Welcome!!💗
Thank you so much
Hey, welcome to DEV
Thank you so much
Hello everyone ! I'm Asha, a frontend developer who works with JS and its frameworks, based in India.
Great to finally be here!
About me - I build and maintain applications, work on UI/UX, and write (which I love the most).
I'm here to write about JS and its frameworks, breaking complex concepts down into simple explanations that's how I learn myself, so it's how I like to share too.
I also write on Medium if you'd like to check out some of my articles — here's the link: Asha bikawat
Outside code, I actually like to binge-watch web shows — Suits being a recent one.
Looking forward to connecting with developers who share the same interests. Nice to meet you all! 🤗
Hey Asha, welcome to DEV 👋
Hey Asha, nice to see you here.
Hey, I'm John. Software architect, about 15 years in. PHP, DDD, and Clean Architecture have been my corner of the world for most of that time.
What brought me here is pretty simple: I've had a lot of opinions about writing software the right way for a long time, and I'm finally starting to put them on paper. The thing I keep coming back to is that AI coding tools are a real accelerant... but if there's nobody on the team who actually understands the domain, you're just generating a mess faster. That's the thing I want to write about.
Good to be here!
Hey John, welcome to DEV 👋
Thank you 🍻
Hey!! John nice to meet you!!!❤️
Welcome to Dev
Thank you 🍻 Nice to meet you too
Hi everyone 👋🏼
I’m new to Dev.to and here to get a bit creative and see where it leads.
I’m a self-taught developer with years of experience in HTML, CSS, and JavaScript, currently working in integrations and moving toward Developer Advocate roles.
Reach out if you're keen to build cool projects.
Hey Shannon, welcome to DEV 👋
Hi! Welcome!!
Hi everyone, my name is James. Glad to be here. I live in north Florida (very different from central and south Florida) If you love nature this is the place to be. Lots of springs and nature preserves, parks etc.
I'm a long time systems engineer (25+ years) and love automation whereever possible. Not a strong coder but have created extensive scripts.
Currently strengthening my Python skills to help with my side-pivot, machine learning. My day job is at a large University Health System administrating virtual infrastructure. I hope to learn much here and contribute when I can.
Hey James, welcome to DEV 👋
Thanks for the welcome! 😎
Hi everyone! 👋
I'm the builder behind HTML Deployer, a Chrome extension that bridges the gap between AI-generated HTML and a live website.
The problem I kept running into: ChatGPT, Claude, and Gemini can generate beautiful HTML in seconds, but getting that HTML actually live on the web still requires too many manual steps: copy the code, create a Netlify project, push to GitHub, configure FTP... For non-technical users, that last mile is a locked door.
So I built a Chrome extension that detects HTML code blocks directly inside AI chat pages, lets you preview on desktop/tablet/mobile, then deploys to Netlify, GitHub Pages, Vercel, FTP, or a self-hosted agent in one click.
Currently focusing on making the deploy workflow feel as fast and friction-free as possible especially for marketers, freelancers, and agencies who use AI daily but don't want to touch a terminal.
Happy to connect with anyone building dev tools, Chrome extensions, or working on the AI + no-code space. 🚀
Hey Julie, welcome to DEV 👋
Hey Julie! 👋
This is a brilliant idea that the "last mile" problem is real. I use Claude daily for content and HTML generation, and deploying is always the friction point.
The Netlify one-click deploy sounds especially useful for marketers and bloggers who just want to see their AI output live without touching Git.
Will definitely check out HTML Deployer!
Thank you! You can find it on Chrome Webstore 😊
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