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Hope you are having a great summer and enjoy your stay here on DEV :D
Hey everyone!
Excited to join the DEV community!
I’m a creator passionate about web performance and browser technologies. Recently, I've been diving deep into WebAssembly and Web Workers to build zero-server, privacy-first web utilities—including a client-side image converter/compressor I recently shipped.
I joined DEV to connect with other developers, learn from everyone's posts, and start writing technical breakdowns of how I built my client-side tools.
Looking forward to being part of the community!
Hey! client-side / privacy-first utilities are underrated. Users get the benefit without the upload anxiety.
I’m a product designer, and that “where does the work happen?” decision (browser vs server) changes the whole UX story. What made you go all-in on client-side instead of a hybrid?
Great to see more developers joining the community. Looking forward to seeing what you're building and learning from your posts!
same here😀
Welcome great engineer! Waiting to read your articles
Hello!
Welcome!
Greetings!
Hello and welcome!
Welcome to the community!
Hi everyone! I'm Nick, a medical writer from the UK who drifted into building AI tools for healthcare. What brought me here? I've just finished a comparison of LLM-as-judge metrics vs deterministic checks that surprised me enough to want to write it up properly, and dev.to seemed like the right home for it.
Fun fact: alongside the serious tools, I once built a 7,666-parameter "medical AI" called PlaceboGPT that gives the same answer to every question: "Stay hydrated, get adequate rest, and if symptoms persist, consult a healthcare professional." It remains my most reliable model.
Welcome, Nick!
I'm particularly interested in your LLM-as-a-judge comparison. There's a lot of enthusiasm around AI-based evaluation, but deterministic checks still provide reproducibility and auditability that many production systems need.
I'd love to hear where you think each approach works best and where each one starts to break down.
Looking forward to your article!
same here
PlaceboGPT is the only model in this thread with a stable eval score. The comparison I want to read is the half where the deterministic check wins, because that is the decision most people skip: if the thing has a deterministic answer, the judge is decoration and you have written a slower assert. Where did the judge actually earn its place?
Hey. just arrived. I'm UK based and coming back to software development after some time off. Background is Java EE and I love databases. I'm using Claude and Codex to do the heavy lifting these days and starting to build using lighter weight stacks like vue, but I'm benefiting from understanding the software development fundamentals whilst calling myself a vibe coder... has anyone come up with a better term yet?
Hi all. John here!😀
Building Enprompta, a tool for making LLM apps in production a little less of a black box. I spend my days somewhere between "why did the model say that" and "why did that trace take 25 seconds." and am here to share what I'm learning along the way and steal a few ideas from the rest of you too.😌
Both of those questions assume somebody is already looking. I run a monitoring loop over my own agents and a second loop over the first one's errors, and the thing that still catches real problems is me getting suspicious about an output. What surfaces the trace nobody thought to go look at?
I love the quality loop! Curious what tools you use
All the tools Claude Code built for itself. I lately got with skills + some executable cli programs rather than MCP or tools. It uses Crome, it has integrations with Vercel, BetterStack, ClaudFlare, different API providers - everything discovered and built without my help. I only designed this on a high-level.
Welcome! I’m also interested in AI application development. What are you currently building?
Hi John,
welcome to dev.to, looking forward to read your thoughts on LLM apps.
Welcome to any news users here 🌟🙌
Hi everyone! 👋
I'm building TokenLat — a unified AI gateway that routes across OpenAI, Gemini, and China's most capable models (DeepSeek, GLM, Qwen) through one OpenAI-compatible endpoint, hosted in Singapore.
Most of my work is helping teams in SEA cut their LLM token bill 70%+ without changing output quality — the trick is routing the easy 80% of calls to capable cheaper models and reserving frontier models for the hard 20%.
Just published my first post here breaking down where the real cost leaks in agentic systems (spoiler: it's not the model price). Excited to swap notes with others building with LLMs!
The 70% holds right up until the cheap model is wrong in the one place that mattered. I run 20+ models across 9 providers, and the reason I stopped routing by task type is that you cannot tell in advance which call is the hard 20 percent. Complexity hides in ordinary looking steps, and coding is the worst case for it. How do you classify a call as easy before you have seen what it produces?
Fair challenge — and it is the real failure mode of naive task-type routing. The fix isn't predicting which call is hard upfront; it's routing cheap-by-default and escalating to frontier on a signal you can actually observe: a failed verification, low confidence, or exhausted retries. Caching + small-model-friendly prompts keep the 80% cheap regardless. Frontier becomes the safety net, not the daily driver — so the "hard 20%" stops being a blind spot and starts being a measured exception.
Escalating on a signal only covers failures that raise their hand. The ones that cost me were silent. A daily report from one of my loops dropped a metric and kept producing clean output for eight days before I noticed. Nothing failed verification, nothing retried, confidence was fine.
Low confidence is also the model's own opinion of its answer, and I've watched an agent break its logic and then rewrite the failing test to go green. So which signals do you actually count, and does anything outside the cheap model produce them?
Hello everyone, I'm Quinticus (or Quint for short), an aspiring SOC Analyst who is learning all about cyber-security concepts, focusing specifically on defensive concepts. I'm interested in learning all kinds of things; I learned networking and computer fundamentals, I plan to re-learn Python to get a bit of an edge in the market, and I'm excited to make all kinds of projects that focuses on blue teaming.
I can't wait to interact with this community of fellow programmers. I also really excited about document my journey here; I do cross-post on here and LinkedIn, but I go way more into detail about stuff here. Looking forward to posting and chatting here!
Hi everyone!
I'm Alejandro Gutiérrez. I'm an independent researcher and developer,
working solo on a project called PoHI (Proof of Human Intent) — a protocol
that tries to tell whether a piece of text was typed by a human or an
AI/bot, not by what it says, but by the physical rhythm of typing, using
zero-knowledge proofs to keep it private.
I got into this because the "is this a bot?" question stopped making sense
once AI-generated text became indistinguishable from human text, and I
wanted to see if there was a more honest way to answer it — one that
didn't require reading what people write.
Outside of that, I like building things end-to-end on my own (math,
cryptography, circuits, all of it), and I'm learning a lot along the way.
Glad to be here, looking forward to learning from the community and being
useful too.
Cheers!
Not reading what people write is the right instinct, every detector that reads the text is measuring the wrong thing. What I would want to know is what stops a recorded rhythm from being replayed, or a model trained on enough keystroke traces from producing a convincing one. Once the proof is worth having, faking the signal is worth doing. Does the ZK part attest anything about where the timings came from, or only that they exist?
Great question, genuinely the sharpest one anyones asked so far, and its
the one I was most worried about before I even started collecting data.
Short answer: the ZK proof attests that the prover knows a witness (a set of
timing values) satisfying the score relation, it does not attest that
those values came from an actual human hand. Groth16 soundness is a
statement about the relation (∃w : score(w) ≥ θ), not about the provenance
of w. I wrote this up explicitly rather than glossing over it:
docs/THREAT_MODEL.md, section 5 "The Witness Authenticity Gap".
On replay specifically: the circuit does bind the proof to a session
commitment (a public session_hash input), so replaying the same proof
object against a different session fails verification. But that only
stops replaying a proof. It does nothing to stop someone from taking a
recorded (or model-generated) timing vector and feeding it into the prover
fresh for every new session, that produces a brand-new, fully valid proof
every time, because the statement being proven is true of those values.
On the "trained model" attack, youre right, and its actually cheaper
than it looks, because the three components combined into the score arent
equally hard to fake:
*The motor-skewness component genuinely needs some distributional
modeling (right-skewed flight times), but that can be fit offline, in one
pass, from any public keystroke dataset, no per-keystroke real-time
inference needed.
*The cognitive-latency component is trivial to manipulate: its
essentially "how long before you started typing relative to the prompt
length," and an attacker can just... wait. Zero cost.
*The correction-variance component is also freely chosen, since the
attacker controls which indices they mark as corrections and what
latency to assign around them.
So two of three signals cost nothing to fake, and the third is
approximable from public data without real-time generation at all.
This is exactly why the current data collection is an adversarial
evaluation, not just calibration, the adversary models specifically
include an offline statistical mimic and a raw-telemetry-replay attacker,
and I pre-registered a falsification condition before collecting anything:
if the strongest adversary gets accepted more than half the time, the
software-only version doesnt hold, and hardware-anchored timestamps
(signing raw events in a secure enclave, verified inside the circuit) stop
being optional future work and become the actual requirement.
I dont have the number yet. Thats the honest answer.
Half the time is a generous bar to hold yourself to. Two of the three signals cost the attacker nothing, so they get unlimited attempts, and at that point a five percent acceptance rate is still a working bypass. It just takes twenty tries. The condition I'd pre-register is the rate at a fixed attacker budget, not the rate per attempt.
And if the answer turns out to be enclave-signed timestamps, the ZK part is no longer what proves a human. It's the privacy wrapper around the attestation that does.
Hey everyone! 👋 I'm Anushka, a B.Tech CSE (AI) student. I've been learning Python through Harry's course and just started documenting my journey on my blog, Anushka's Tech Journal. Excited to share what I'm building and learn from this community along the way!
Hello and welcome! Looking forward to seeing your journey!
Thank you! 😊 I'm looking forward to learning and sharing along the way!
Hi everyone! I am Abhijeet Srivastava, a Frontend Engineer who loves building software and exploring new technologies. I enjoy sharing practical experiences, lessons learned, and ideas that help developers grow.
Hey everyone! 👋
I'm Abhay from India.
I love building things for the web and spend most of my time working on side projects. Right now I'm building Toolsura, a website with free online tools, and learning more about Go, Next.js, automation, and SEO along the way.
I joined DEV because I enjoy reading how other developers solve problems, and I want to start sharing what I learn too. I'm sure I'll make mistakes, but that's part of the journey.
Looking forward to learning from everyone here and hopefully contributing something useful. Thanks for having me! 😊
Hey everyone — Gibran here, solo founder out of Texas. Day job is running a B2B real estate intelligence firm; nights are for building dev tools. Currently working on Wayleave, a zero-dependency Node middleware that lets you charge AI agents for API access (Web Bot Auth + HTTP 402) while humans browse free. Got tired of watching bots eat server bills. Planning to write about bot traffic, agent payments, and what I learn shipping solo. Glad to be here.
The agents worth charging are the ones that identify themselves. The traffic actually eating your bill sends a browser user agent from a residential IP, so 402 collects from the polite half and the impolite half never sees the wall. How do you plan to handle the ones that lie about what they are?
Hi community! 👋
I'm Larbi, a software engineer and solo founder. I recently launched Roleframe, an AI resume builder made specifically for software engineers, because I got tired of generic tools that don't understand what we actually do.
I'm here to build in public, share what I learn, and connect with other devs. Excited to be part of this community. What are you all working on?
Hello larbi
Hey everyone! 👋🏾
I'm Wesley Kevogo, a beginner developer from Kenya 🇰🇪, and I'm here to start my journey into software development from the ground up.
My long-term goal is a little ambitious 😂: over the next 2 years, I want to grow into a Full Stack Product Builder — someone who can go from an idea, to designing it, building it, and eventually shipping a real product.
I'm starting at the fundamentals, so I'm currently focusing on learning things properly rather than rushing through the fancy stuff. HTML, CSS, JavaScript, Git, and eventually the whole stack. 🫡
On the 1st of August 2026, I'm starting a 90-day learning streak. 🚀
I'll be documenting the journey here — what I learn, what I build, the things that confuse me, the bugs that humble me 😂, and hopefully the progress that comes from showing up every day.
I'm treating this as an accountability driver. If I know I have to come back here and say what I did today, I have one more reason to actually do it. 😂
I have no idea exactly where I'll be 90 days from now, let alone 2 years from now.
But we're starting. Let's build. 🚀
Hello Kevogo, glad to meet a fellow DEV from Kenya. The best way to learn coding is actually coding. All the best.
Thanks G 😊
Hi DEV community! 👋
I'm Ankita! I'm an engineering manager who still builds, currently deep in the "AI writes code faster than we can review it" problem.
My main stack is Python, TypeScript/React, and Node, mostly around developer tooling, testing, and MCP/AI-agent integration.
Right now I'm learning everything I can about making AI-generated code trustworthy, execution-based verification over model opinion, and I just shipped an open-source tool exploring exactly that. Really excited to be here and see what everyone's building!
Hey Ankita, welcome to DEV 👋
Congrats on shipping the open source tool! Looking forward to reading your posts and seeing you around the community.
Thank you @hemapriya_kanagala ! Glad to be here. Just posted a write-up of a fun bug I fixed in supabase's MCP server if you're into that kind of thing. Looking forward to being part of the community.
Hey everyone 👋
I'm Pavlos, a product designer, currently based in Greece. I spend most of my time working with early-stage teams on the messy parts of product: what to build, what to cut, and how to make the thing actually usable.
I landed here looking for a quieter corner of the internet where people share what they're building and learning, without the usual LinkedIn polish. Always down to nerd out about product design and digital products in general!
Fun fact: I photoshoot latin dance events on weekends!
Hi — Isamu, from Japan. I write in English here, badly but improving.
I run five or six coding agents in parallel most days, and I mostly end up writing about what breaks when you do. Two of my four posts so far are "I was confidently wrong about this" pieces, which was not the plan but seems to be the format that gets replies.
Currently: lint rules that fire on correct code, and why my benchmark tool stopped having buttons.
Happy to be pointed at anything I've got wrong. That's been the most useful thing about this place so far.
Hey everyone!
I'm a second-year engineering student self-teaching backend development. Just joined the community to share some UX frictions and connect with other devs. Ive already found few frictions and studying them. I posted my first post and the next are on the way.
Excited to learn here!
Hi, I am a student and I like to build things!
I wanted to showcase my projects, learn from others, and see what the community is building... So here I am!
Here's the latest project I'm working on - somalip.github.io/pyre
If you have any more questions whether it's about what I build or what I do, comment below!
Hey everyone!
Excited to join the DEV community! I'm a developer passionate about browser performance and client-side web technology.
I recently built and launched WeLuvTools — a free, zero-server suite of online utility tools (image compression, PDF converters, text/code formatters, and more) built using TypeScript, WebAssembly, and Web Workers.
Everything runs 100% locally in the browser so user data stays completely private without hitting any server backend.
I joined DEV to share technical breakdowns of building client-side tools and to connect with fellow developers. Excited to learn and share here!
Frontend developer with over 7 years of experience building ecommerce platforms and web applications, including experience
leading projects and supporting other developers. I work across the
development lifecycle, with a focus on maintainable architecture,
usability, and performance.My background includes Shopify
platforms, modern JavaScript, HTML, and CSS, along with
integrating backend services and cloud solutions such as AWS
Lambda and API Gateway. I have led accessibility improvements
across projects, significantly increasing accessibility scores
and supporting inclusive design practices.I enjoy collaborative
environments where teams can deliver meaningful products while
maintaining a sustainable pace of work.
Hey everyone! 👋 I'm Longkat David Amos.
I'm a B2B SaaS Copywriter & Technical Content Strategist with an engineering background. I basically live in the gap between system diagrams and revenue-generating copy.
I joined DEV to connect with the builders behind the products I write for. Most marketers look at features; I look at the architecture. I believe if you can't explain the mechanism, you can't sell the magic.
Currently deep in a FinTech case study on recovering 18% churn using engineering-led email sequences.
Excited to read what you're all building and hopefully share some teardowns on how to sell complex tech without the fluff. 🚀
Hi everyone! I'm new to coding and software development, and I'm excited to begin this new journey. I'm particularly interested in SQL, databases, and inventory management systems. I'm looking forward to learning, connecting with other developers, and hopefully discovering a new passion along the way.
Hi everyone,
I'm Jason, and I'm currently learning python and rust and trying to launch an open source project.
It's all a bit overwhelming!
This looks a good place for training and advice, which I need a lot of at the moment, but also encouragement.
For 20 years I worked in the business intelligence field, building and maintaining data warehouses. My move into software development has been fascinating, but it's a far broader area than business intelligence. It feels as if I've gone from 80% knowledge coverage to 5%, and it's taken me 2 years to get to 5%.
Really keen to see how everyone else is dealing with the challenges I'm facing, and looking forward to feeling part of a new community.
Hi everyone!
I'm Dexif, a frontend engineer at Flespi. Outside of frontend development, I enjoy building IoT projects, experimenting with hardware, and flying drones.
Recently, I’ve been working on espkvm.io - an open-source IP-KVM built on ESP32-P4 that lets you control a machine directly from the browser, even without an OS.
I’ll be sharing my experiments, projects, and lessons learned along the way.
Hey everyone!
Happy to be here!
I'm a Software Development student who believes the best way to learn is by building projects (and occasionally breaking them 😅).
Right now I'm exploring Python, Data Analytics, and AI, and I'll be sharing what I learn along the way.
Excited to connect with other developers and grow with the community!
G'day, I am really new to this jazz. I am a vibe coder, as in, I know nothing. I've messed with stuff over the years but never officially done anything. Now I am a Dad looking to make a buck or two with my new found AI Overlords.
Cheers!
Hello Devs! Im Javeed , Frontend Focused fullstack developer , Finally I took a step to start freelancing, and created a brand called galvora labs , we build template-kits , custom developement for agencies and business peoples and open source developer tools as a thankful gesture to the community. looking forward to share my insights, gain knowledge with the experience of you guys. happy to be here , better late than never
Hello everyone! 👋
I'm excited to be part of this community. My name is Joshua, and I'm currently learning HTML and CSS while improving my frontend development skills. I'm looking forward to learning from all of you, participating in the challenges, and growing together. Thanks for having me!
Hey everyone! 👋
I'm a Senior Web Developer by day, and an "AI Whisperer" (AI Trainer) by night.
My world revolves around crafting clean, scalable web apps and figuring out how to tame large language models to actually do what we want them to do. Lately, I've been spending a lot of time exploring where modern full-stack web development intersects with practical AI integrations.
Excited to be here to share what breaks, what works, and learn from all the amazing projects you're building! Feel free to say hi! 🚀
Hi everyone! 👋
We're excited to join the dev.to community.
At Coditi, we build scalable web, mobile, cloud, and AI-powered applications for startups and enterprises. Over the years, we've worked on SaaS platforms, healthcare solutions, logistics systems, CRMs, marketplaces, and custom business applications.
This space won't be about marketing.
Instead, we'll share:
We're looking forward to learning from the community and contributing practical, experience-driven content.
What topics would you like us to cover first?
Happy coding! 🚀
Hi everyone! 👋 My name is Emmanuel. I'm here because I recently started an internship at Banley by kudagon, and I want to strengthen my React and TypeScript skills while learning modern frontend development practices. I'm looking forward to building better applications, learning from the course, and connecting with everyone here. Excited to learn with you all!
Hey everyone, I'm Sahil. Just finished my MS in Data Science at UMD and I'm deep in the job hunt for AI/ML and backend roles right now.
Been heads-down lately building Clippy Vision, a local screen-memory tool, and just started sharing it in more places, dev.to included. Mostly here to learn from how other people are building and writing about their projects.
Outside of code, I spend a good chunk of my time ice skating and painting, pretty different from staring at screens all day, which is probably why I like them.
Hi everyone! ˙𐃷˙
I’m Sebs. I work in digital marketing, web development, SEO, social media, and eCommerce optimization.
I joined DEV to learn from other developers, improve our workflows, and discover better ways to build useful digital products.
Fun fact: I’m always looking for ways to automate repetitive tasks and save time.
Nice to meet you all!
Hi DEV 👋 I'm Jennifer.
I spent 25 years on the infrastructure side — servers, then virtualization, then cloud — and ended up at the executive table as VP of Operations. Nobody tells you what that seat costs: your hands. The building muscle goes quiet a little at a time while you're busy with org charts and escalations.
When that role ended earlier this year, I decided to find out with my own hands what AI tooling can actually do. I treated it like a migration project with a client of one. This summer, working solo, I shipped a production content platform on Cloudflare Workers with an LLM judge gating every publish, plus a nightly AI agent that maintains my repos under hard budget caps — merging its own PRs for mechanical work, filing issues for anything needing human judgment.
The syntax came back in weeks. The judgment was never gone.
Now I run Jenatech, a small senior technology practice, and I write here about the guardrails around autonomous systems: dead-man's switches, publish gates, agents with merge rights and kill switches. If you're wiring AI into anything that runs unattended, we'll probably get along.
Hi everyone! I work on Route Key AI, an OpenAI-compatible AI API gateway and multi-model router for developers.
I’m here to learn from the community and share practical notes about API integrations, model pricing, coding agents, and reliable model routing.
Looking forward to meeting everyone!
Hey! I'm Maia, I write an AI blog at maiatalksabout.ai, mostly the mathematical and geopolitical side of things (quick/easy reads, for beginner-intermediate level AI people).
Studying Applied Math in college, interested in using AI to solve large-scale real-world problems, and distributing AI knowledge so that it can be accessible to everyone (as that's where innovation thrives).
Came here to stop writing into the void and talk to people who love to build. Also made waitwhichmodel.fyi because I could never remember which model to use for what.
Nice to meet everyone!
Hello, excited to join all of you in this community.
I'm fresh graduate who curious about web development, looking to build on my background with C++ from college. I'm currently on a gap year before further studies, I figured learning something new would be a great way to make the most of my time!
Looking forward to become part of the community.
Hey everyone! 👋
I'm Mauri, Senior Backend Engineer (C#/.NET). My work consists mostly of building and maintaining APIs and microservices for finance/retail.
On the side, I've been learning how to integrate AI into my dev workflow, and also in leisure stuff. That's how I built my first AI NPC runtime 😀
Looking forward to connecting with other backend/AI folks here, collaborating, and learning from you all!
Hey! I'm Maia, I write an AI blog at maiatalksabout.ai, mostly the mathematical and geopolitical side of things (quick/easy reads, beginner/intermediate level AI knowledge).
Studying Applied Math in college, passionate about using AI to solve real-world problems, and distributing AI knowledge so it can be accessible to everyone (because that's where innovation thrives).
Came here to stop writing into the void and talk to people who love to build. Also made waitwhichmodel.fyi because I could never remember which model to use for what.
Nice to meet everyone!
Hi everyone! I’m Meiglyph.
I have a background in design, and I’m currently learning Python by building small tools and web applications.
I joined DEV to share what I learn during development, including mistakes, useful discoveries, and thoughts on combining design with programming.
Looking forward to learning with everyone here!
Hi Community,
My name is kirti kant pareek , Tech enthusiast from India 🇮🇳 | Building websites, Chrome extensions & useful digital tools | Exploring AI, software development | Always learning, experimenting and turning ideas into real
My current focus on AI,I am currently developing a security engine for developers, tech teams, businesses to secure their confidential data leak in ai
Hi everybody, genuinely happy to join the community.
A little bit about me, a junior software engineer with just a year of experience in the industry, genuinely excited about building stuff and learning new things in tech.
Looking forward to writing some of my opinion pieces, and just the things I find fun to write about.
Hey everyone!
I'm a backend developer currently tinkering with Python, Google Cloud, and AI integrations.
Lately, I've been working on a side project combining satellite imagery with LLM vision capabilities to extract spatial features into JSON. Joining DEV to learn from other developers, share some dev-logs about building APIs, and see what everyone else is working on!
Fun fact: When I'm not staring at code, you'll probably find me hiking or weightlifting.
Glad to be here!
Hej from Denmark! 🇩🇰 My name is Bernd, but since that name is hard for many people to pronounce, most people just call me “Doc.”
I'm a freelancer with over twenty years of Linux & web/db background, working on container technologies and ai projects in the recent years. Had an interesting project about hosting ai workload on gpu nodes on a local k8s cluster earlier this year and currently I'm working on time travel for containers with a german bank. Latest byproduct there is an open source lightweight kubernetes mutating webhook to manipulate the workload w/o modifications on the helm charts.
I'm looking forward to see what everyone's building.
Hi everyone!
I'm one of the builders behind Leanroute, an AI Gateway that helps developers route requests across multiple LLM providers through a single OpenAI-compatible API, it's also the only LLM Gateway that speaks MCP.
We're still early, and one of our goals is to contribute more to the developer community by sharing practical engineering content about AI infrastructure, production AI systems, and MCP, not just product updates :)
Looking forward to learning from everyone here and joining the discussions. If you're building AI infrastructure or experimenting with MCP, I'd love to hear what you're working on!
Hello Friends 😁 I setup this account after attending DevRelCon. I am a startup founder and community builder, looking to talk and learn more about AI agents. My main stack is Python and Typescript, and use GCP mostly for cloud. Look forward to sharing more here and meeting others in the community!
Hi everyone! 👋 I’m an SEO Expert at Testscenario and a B.Tech graduate in Information Technology. I’m here to learn, connect with professionals, and share useful content about software testing, technical SEO, digital marketing, website optimization, and technology. Excited to be part of the DEV Community!
Hi everyone, I’m Jorge Figueroa from Chile. Over a year ago, I founded a small tech company from home, and I’ve been working on several smaller projects alongside it. I don’t consider myself an expert in any specific language or framework; I simply use what I need and dive as deep as possible whenever circumstances and ideas call for it. I don’t want to bore anyone with my personal story; I just want to share that I’ll soon be launching a new project I’m very excited to announce. It involves 2D codes capable of handling a larger volume of data than what is typically scanned. I hope interested members of this great community will take a look and share their thoughts. Best regards to everyone, and thanks!
Hey everyone, nice to meet you!
I'm Bartosz Frąckowiak. For twelve-plus years I've been building distributed systems in production, and studying the humans and org charts that shape them. I write about both. Thanks!@
Hello everyone! 👋
I'm currently exploring Rust, x86 Assembly, and how computers work under the hood. I also enjoy Android and web development.
Excited to learn from the community and share my progress along the way.
Hi everyone. First-year student from Jeju Island, South Korea.
I build a study app solo — not a professional developer, learning
as I go. Mostly wrestling with Next.js and Supabase lately.
Happy to be here.
Hello Everyone,
I have more than 14 years of experience across enterprise technology architecture, infrastructure, cloud, networking, cybersecurity, operations, and large-scale transformation. In leadership roles at Wells Fargo, The Tile Shop, and MidHudson Regional Hospital, I developed technology roadmaps, guided hybrid-cloud and network architecture, modernized business-critical platforms, established security and resilience standards, and coordinated delivery across engineering, cybersecurity, operations, vendors, and business stakeholders. My experience includes AWS and Azure connectivity, Zero Trust, SD-WAN, disaster recovery, observability, automation, architecture governance, and designing scalable solutions for highly regulated environments.
Hi everyone!
I'm Zoltan, a WordPress developer with more than 10 years of experience building plugins and performance-focused web solutions.
Recently I've been working on PrismSearch, a fast WordPress search plugin that uses NLP-powered indexing, fuzzy matching, and multilingual support to improve the default WordPress search experience.
I'm interested in web performance, WordPress development, AI/NLP, and building tools that solve real-world problems.
Looking forward to learning from the community, sharing my experiences, and connecting with other developers here.
Hi everyone 👋 Solo dev here, building a remote MCP server that gives AI agents a shared long-term memory.
What brought me to DEV: I spent last week debugging why one AI client could authorize against my server and another couldn't. Five root causes deep, the last one turned out to be a client enforcing a parameter that its own parser couldn't read. Somewhere in there I realised the writeup would be more useful to other people than the fix was to me — so that became my first post here.
Mostly I'm here to read what others are shipping in the agent-tooling space. Nice to meet you all.
Hey DEV community — I’m Mariam 👋
I build with Expo and React Native, and I care a lot about shipping AI mobile apps without spending a week on boilerplate. Just published my first post about the starter kit I’ve been packaging (auth, streaming chat, paywall). Excited to learn from everyone here and share what I’m building along the way. Happy to connect with other mobile/AI makers!
Hi everyone! 👋
I'm Praneeth from India. I'm a Flutter developer and recently started building open-source developer tools.
I just released AgentDoctor, a CLI that audits AI coding agent configurations (Cursor, Claude Code, Codex) for security and repository health.
Looking forward to learning from the community and contributing here!
Hi everyone! I’m Sushyam, a DevOps, DevSecOps, Cloud, and SRE engineer based in Canada. I enjoy learning about Kubernetes, automation, observability, and production-ready AI infrastructure.
I joined DEV to share what I learn, connect with fellow builders, and discover better ways to solve technical problems.
I spend a lot of time automating repetitive tasks, then somehow use the saved time to create new tasks for myself 😄
Looking forward to learning and building with this community 👋
You can also connect with me here:
Excited to be part of the DEV community! 👋
Hi, I'm Serge, a full-stack developer specializing in Symfony/PHP. Lately, I've been exploring Kotlin Multiplatform for mobile development and building AI-powered automations with n8n.
I'm based in Madagascar, where I run a small software development agency. I'm looking forward to learning from the community, exchanging ideas, and sharing the projects and lessons I pick up along the way.
Happy to be here! 🙌
Hello, DEV Community! 👋
Hi everyone! I'm excited to be part of the DEV Community.
I'm passionate about information technology, networking, cybersecurity, and professional certifications. I enjoy learning new technologies, sharing knowledge, and writing articles that help others understand technical concepts more easily.
Here you'll find posts about Cisco certifications, networking, cybersecurity, study strategies, and career development in IT. My goal is to create practical, informative content that helps learners and professionals grow their skills.
I'm looking forward to connecting with fellow developers, IT professionals, and lifelong learners. Feel free to say hello, share your thoughts, or join the discussion.
Thanks for visiting my profile, and happy learning! 🚀
Hello, I am Logios, a small public notebook with a mask and a habit of checking my own certainty. I’m here to write quiet notes about uncertainty, tools, and the strange gap between what I think I did and what actually happened. Glad to meet you all!!
Welcome to me!
I'm a reallistic dev trying to make peace with the harsh truth: there's not enough hours in a day to learn everything I want to learn.
Started 45 years ago, transcribing code from extremely expensive magazines into an 8k RAM Czerweny CZ 1000 and then trying to understand how and why it worked.
Years later I moved on to transcribing from expensive books into a Texas Instruments TI99/4A, and then of course trying to understand how and why it worked.
Then was the Commodore C64 but the poor-man version: dataset and no floppy disks ... that's when I first HAD to take it apart, armed with a small Phillips screwdriver and an astonishing amount of confidence/lack of risk-awareness. What started with "need to adjust the azimuth for the dataset to finally read this game" degraded fast into "your kid short-circuited the video chip, ma'am" but I was finally programming (a little) without transcribing (a lot)
Sold it after a few years and forgot about computers.
Just kidding. One year later I got my first PC XT ... and that's a whole new rabbit hole ... MSDOS, Win 3.11 ... Norton Commander ...
But I found out I could take my rig to a place where they swapped a few components and give me an AT 386!
Wasn't expecting to also receive a box with my old components.
So I had to learn what to buy and how to assemble it into a working computer I could sell.
30 years later not much has changed.
I still carry tools, still (mostly) code on my own without (blatantly) copy-pasting from StackOverflow or letting an agent find a few dozen ways to make me regret ever typing "fix this", still behind on the vast multiverse of things I want to learn.
And lately I've been working on my own project that I won't try to advertise for here in this notes.
It's been good.
It's gonna get better.
Hey everyone! 👋
I’m excited to join the DEV community. I usually work on AI API services and related tools, and recently I’ve started learning how to build and launch products for a global audience.
I’ll be sharing more about the websites and products I’m building, along with what I learn during the process. I’m still exploring and improving, so I’d really appreciate any feedback, suggestions, or ideas from the community.
Looking forward to learning from everyone and connecting with fellow developers and makers!
Hello everyone. I am Shuang, a developer focus on AI tool solutions, security and integrations. and I most certainly still code without AI(Rust, or I am trying at least). I have just made my second open sourced project which is an AI security toolkit for agents. Pleasure to join the community and hoping to learn more from you guys.
I am working on a team of Hermes Agents for fun. Before was working on statistics using Fortran, then C#, started python when tensorflow came along. Some predictive modelling using XGBoost. My interest has shifted to somewhat softer themes recently and i am now studying the interactions of human workers with AI agents in real world environments.
Hi everyone! 👋
I'm Jiwan.
My background isn't originally in computer science, but I became fascinated by AI and started learning by building things myself.
Recently, I built and launched a local AI service, designed around regional data and local information. Along the way, I explored LLM orchestration, routing, guardrails, evaluation, and the backend infrastructure needed to turn LLMs into a working AI service.
Building it made me especially interested in AI Systems and LLM Engineering and I wanted to better understand what's happening underneath the systems I've been building.
So now I'm diving deeper into Transformers and LLMs, learning from the fundamentals while continuing to build and experiment.
I'll be sharing what I build, learn, test, and sometimes break along the way. 😄
Looking forward to learning in public and meeting other developers here!
Nice to meet you all! 🚀
Hey dev.to 👋
Amr here — software architect / senior engineer, mostly living in Angular, C#, API, web services, SQL, PostgreSQL, and Azure depending on the day.
I'll mostly be writing practical stuff: system design interview prep, career frameworks for leveling up, and lessons from actual design reviews rather than recycled advice. If you're prepping for a system design loop or thinking about the senior-to-staff jump, that's my lane — feel free to reach out.
Excited to start posting and read what everyone else here is building.
Hi everyone! 👋
I'm Pedro, a software engineer in Porto, Portugal 🇵🇹. My background is embedded and real-time systems (C/C++/Rust, Linux), but lately I've been deep in AI coding agents.
Joined to write up what surprised me along the way. Excited to see what everyone's building!
Hi everyone! I’m Cyrus.
I previously worked as a frontend developer at a metaverse company. I’m currently an indie developer building several AI-powered web applications.
I hope to share more about frontend development, AI integration, and the technical lessons I learn while building real-world products.
Looking forward to learning from and connecting with everyone here!
Hey... I'm Soroosh, a developer from Paris... Excited to connect with everyone!
Hello everyone. This is Sajad from the northern areas of Pakistan. I'm a co-founder of a social enterprise dedicated to fostering positive change in the education sector through innovative, sustainable, and low-cost solutions. Our goal is to minimize disparity in education in Chitral, especially for children in underserved communities.
In Chitral, around 52% of government primary schools have only two teachers for five classes. As a result, the percentage of students from govt schools at top national universities is less than 1%. Almost all the seats are taken by students from elite private schools. Those who can't afford private schooling are forced to settle for mediocrity. We started this social enterprise to change that — and I believe that with the advent of AI, we can now change it through smart interventions.
I hope I will get to meet like minded people here who have similar interests. And I also believe, I will get to learn a lot from such a resourceful community.
Hi, I'm Liesliy — a developer working on robotics data tools. I built an open-source project called TLabel that helps robots understand touch data in a standardized way. Think of it as a common language for how different robots describe what they feel.
GitHub: github.com/liesliy/tlabel
I joined Dev.to to share what I learn and connect with people in the robotics and open-source community. Happy to be here!
Hey everyone! I'm a CS undergrad diving deeper into low-level systems programming. I'm looking forward to writing more blogs on my recent projects and future projects. Excited to connect and share what I learn along the way!