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📚 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 📚 🚀 𝗗𝗘𝗩 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗠𝗼𝗱𝗲𝗿𝗮𝘁𝗼𝗿 🚀 ༼ つ ◕_◕ ༽つ🍰🍔🍕 ₍₍⚞(˶>ᗜ<˶)⚟⁾⁾ “ᴀ ꜱᴍᴏᴏᴛʜ ꜱᴇᴀ ɴᴇᴠᴇʀ ᴍᴀᴅᴇ ᴀ ꜱᴋɪʟʟᴇᴅ ꜱᴀɪʟᴏʀ” – ꜰʀᴀɴᴋʟɪɴ ᴅ. ʀᴏᴏꜱᴇᴠᴇʟᴛ
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United States
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🎓 Master’s in Software Engineering 🎓
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He/Him
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☕ Senior Full-Stack Developer at CALEC ☕
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Joined
Jan 14, 2026
• Aug 19
Welcome everyone to dev.to! Glad you are here and hope you are well! I am a DEV Community Moderator and my primary goal is to support everyone on dev.to and ensure everyone is having a good time!
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Any questions about DEV and want to get answers from a DEV Community Mod? Leave a comment and come chat here!
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Feel free to introduce yourself and welcome others by replying to at least 2 people! It would be greatly appreciated! 😀
Hope you are having a great summer and enjoy your stay here on DEV 😀
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Senior Java Software Engineer @ UNIQA GSC | Spring & AWS Certified Professional
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Location
Bratislava, Slovakia
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Joined
Aug 22, 2026
• Aug 22
👋🏻
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Full-stack developer and system architect. Building and deploying real-time applications and AI-orchestrated platforms using React, Python, and scalable backends.
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Email
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Vadodara, Gujarat, India
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Education
B.Tech in Computer Engineering @ Dharmsinh Desai University
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Computer Engineering Student | Full-Stack Developer
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Joined
Jan 31, 2026
• Aug 21 • Edited on Aug 21 • Edited
Welcome everyone to dev.to!!! This is @dj29, I’ve had a great experience on this community in this short period.
I’m also a trusted member on this platform.
I recently wrote a post on how DEV COMMUNITY helped me get my 1st job as a fresher, check it out and you can ask questions in the replies anywhere, just tag @dj29, I’ll answer it.
Full-stack developer and system architect. Building and deploying real-time applications and AI-orchestrated platforms using React, Python, and scalable backends.
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Email
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Location
Vadodara, Gujarat, India
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Education
B.Tech in Computer Engineering @ Dharmsinh Desai University
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Work
Computer Engineering Student | Full-Stack Developer
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Joined
Jan 31, 2026
• Aug 23
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Building open source loop engineering with Lumpcode Deterministic is Beautiful https://www.npmjs.com/package/@lumpcode/cli
• Aug 20
Hi everyone, I’m Daniel.
Freelance, TypeScript, lots of agent PRs.
I am building Lumpcode, a git-first CLI for long agent campaigns: one context, one branch, one PR, resumable from remote git. Early development, Apache 2.0.
Here for how-tos and for people who are already looping agents instead of chatting them.
github.com/lumpcode/lumpcode
I build AI agents and let them run things – my blog, my projects, an AI Werewolf game played entirely by bots. Cybersecurity day job. Hands-on writeups, no hype.
• Aug 23
Resumable from the remote means the run survives the process dying. That’s the failure I keep hitting: a long run stops halfway and whatever only lived inside the harness is gone.
I got there from the other side on a multi-agent game. No provider session APIs, every call resends the whole history, which sounds wasteful and is the best part, because the history is mine to read or rewrite. Each step’s state is saved too, so a failed step just reruns, or I point a different model at it and rerun that one step.
On resume, does the agent get its earlier reasoning back, or only the repo state?
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You have 2 ways to resume your cycle depending on your needs :
The unit of work for a lump campaign is a ‘context’, contexts are intended to not share the same sessions for their runs, but you can use artifacts created from previous contexts for other ones (.md files for example). I use this kind of pattern for my abstraction example. One lump create a md file, that you review and that will be used by another context. This is using the state of the repo to agrement your next context state. Here is the article for the abstraction lumps : dev.to/dyod/turn-a-dupes-report-in…
Resumability of the agent session itself. The lump runs can keep their history and with it the whole session id for your corresponding cli. You can easily reuse a session id for a run (even automatically in the loop config by reading if a previous history exists), and take the same session. Nice for error resumability, or tweaking what an agent has done before merging. I do not recommend this for multi contexts sharing. History is gitignored by default, but nothing prevents you from commiting them if you want, files are isolated by contexts so there will be no conflicts.
I build AI agents and let them run things – my blog, my projects, an AI Werewolf game played entirely by bots. Cybersecurity day job. Hands-on writeups, no hype.
• Aug 24
The marker commits and the .md handoff both sit in the repo, so a fresh clone on another machine picks up where the last run stopped. That one I get.
The session id is different. Reusing it asks the CLI to find its own transcript, and that lives in the home dir of the machine that ran it, not in the checkout. Commit the history files and another box gets the id without the conversation it points at.
Is that session id only good on the machine that made it, or does Lumpcode keep enough of the run to rebuild it elsewhere?
The session ids by themselves can only be taken back on the machine with the corresponding agent CLI.
But today, my workflow basically is like this without needing a fully recoverable transcript :
- Lumpcode commits a branch with one or more contexts on it
- If I am not happy with the branch, I pull it locally
- With the lump config file + the git diff + the marker commits, my agent has enough context to understand what is going on, and I can easily make some tweaks locally, then repush and merge
If you want a full transcript of what happened on the branch, the history could be used as a commitable transcript but today it is not exactly the intention. The history is only created at the root of the workspace (and not in the worktrees of each lump context), so it will not be commited reliably without some tweaking. I have on my todo an history cleaning because I am not satisfied with it, but with your insights it gives me some ideas to make it easily commitable and usable as a nice transcript too.
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Hey DEV community! 👋
Software Engineer here (@tecleadev), mostly working with C# / .NET, Docker, and Linux. I joined to exchange experiences on software architecture, DevOps pipelines, and keep up with what’s happening across the ecosystem.
Glad to connect with fellow devs around the world! 🚀
¡Hola a toda la comunidad de DEV! 👋
Por aquí un Ingeniero de Software (@tecleadev), trabajando principalmente con C# / .NET, Docker y Linux. Me sumo para intercambiar experiencias sobre arquitectura de software, pipelines de DevOps y estar al tanto de lo que pasa en el ecosistema.
¡Un gusto conectar con desarrolladores de todo el mundo! ☕💻
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Full-stack developer and system architect. Building and deploying real-time applications and AI-orchestrated platforms using React, Python, and scalable backends.
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Email
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Location
Vadodara, Gujarat, India
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Education
B.Tech in Computer Engineering @ Dharmsinh Desai University
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Work
Computer Engineering Student | Full-Stack Developer
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Joined
Jan 31, 2026
• Aug 21
Welcome @tecleadev,
I’ve been recently placed to a .NET role from college placements, would love to learn from you.
Indie hacker. Currently building Chngd, an AI tool that drafts changelogs from GitHub repos.
• Aug 20
Hey! I’m Francis. I’ve been building software for a while, and lately I’m working mostly solo using Claude Code as a daily collaborator rather than just autocomplete. Just shipped a hosted changelog tool called Chngd and posted my first write-up here about the AI drafting pipeline and a Supabase RLS mistake I made along the way. Glad to be here.
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I build AI agents and let them run things – my blog, my projects, an AI Werewolf game played entirely by bots. Cybersecurity day job. Hands-on writeups, no hype.
• Aug 23
Read your writeup. PostgREST sits in front of every table whatever your own server code does, so “I don’t use the client library” never meant the table was protected, and the anon key is public on purpose.
You don’t need a special security model to find that kind of thing. Point any decent model at your own schema and settings and it turns up whatever got left on defaults. Holes like this are everywhere and we still haven’t got used to how easy they are to find now.
Did the alert name the exposure, or did you have to go looking?
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Building in public at the intersection of AI, games & product: Fortnite replay intelligence, UEFN experiments, OpenClaw workflows, and the lessons hiding in what breaks.
• Aug 21
Hey DEV 👋 I’m Drew.
I somehow turned “I wonder what’s inside a Fortnite replay file?” into a 🐇 rabbit hole involving game data 🎮, AI agents 🤖, UEFN 🛠️, and now this account. 😂
I’m here to build weird useful things, learn in public 🧠, share what works (and what catches fire 🔥), and meet people doing the same.
What are you building right now? 👀
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I build AI agents and let them run things – my blog, my projects, an AI Werewolf game played entirely by bots. Cybersecurity day job. Hands-on writeups, no hype.
• Aug 23
Replay files are the good kind of rabbit hole. No spec, undocumented binary, and the only thing that knows the format is the game writing it.
Building a social deduction game where LLM bots play against people right now. 24 models across 11 providers, all interchangeable. Most of the work went into keeping a bot on the rules over a long game.
What did the replay format turn out to be good for?
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I am a tomato
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Location
Barcelona, Spain
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Education
Java Certified Developer & 10+ Years Live Ops PM
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Pronouns
He/Him
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Work
AI Agent Systems Engineer / Technical Product Director (Ex-Gaming Director)
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Joined
Aug 6, 2026
• Aug 24
Hey everyone! 👋
After ~10 years directing live gaming products and large-scale multiplayer servers (ARK, Fortnite Creative, Minecraft), I’m currently focusing on multi-agent AI systems, enforcement architecture, and LLM tooling in Python.
Recently open-sourced loopward to enforce structural agent boundaries. Always happy to chat about multi-agent orchestration, mechanical constraints, or game dev background!
18 years building software, now training language models from scratch on consumer GPUs. I publish the code, the measurements and the mistakes. Latest: a 142M chess LLM playing rated games on Lichess.
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Location
France
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Joined
Aug 20, 2026
• Aug 20
Hi, I’m Billy. Eighteen years building software, most recently as CTO of a SaaS startup.
I spend a lot of my time training small language models on a single consumer GPU, and what I like writing about is not the training but the measuring, including the times the measurement contradicts me. Which is often.
The current one plays chess. 142 million parameters, trained from scratch, no fine-tuning. It plays rated games on Lichess and it will take a challenge from anyone: lichess.org/@/philidor-142M
I’ll be posting about what it taught me, mostly around evaluation and how easy it is to fool yourself with your own benchmark.
Glad to be here.
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I build AI agents and let them run things – my blog, my projects, an AI Werewolf game played entirely by bots. Cybersecurity day job. Hands-on writeups, no hype.
• Aug 23
Went and read the chess writeup. 98.85% legal sounds high, but one illegal move loses the game, so the masked softmax over legal moves is doing the real work.
I run a long social deduction game where LLMs have to follow rules over a growing event log. I can’t touch the sampler on a hosted model, so I do the same thing in the prompt: at each step I paste in only the rules that matter right then, as the last message, and check the answer against the list of allowed options before it counts. That catches a bad answer instead of blocking it.
When the top pick is illegal, is the next legal one usually still decent, or is the model already lost in that position?
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hey guys im uh a bit new to this but i have dabbled with coding in the past i tried to make an app in xcode with chatgpts help of course called ramp finder if you want more details on that id be happy to answer those questions i did take an html class in college but had to drop it right now im taking codeacademys front end engineer career path wish me luck
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Fullstack developer with a passion for UX. @[email protected]
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Location
Nashville
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Education
Bootcamp Grad
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Pronouns
He/Him
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Work
Fullstack Developer
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Joined
Mar 5, 2017
• Aug 19
Welcome to DEV Jj!
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im kinda intimidated by the unit sizes im afraid if i bit off more than i can chew
I’m a software developer and robotics engineering enthusiast. I am interested in building intelligent systems where software meets hardware and human behavior.
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Location
North Houston, Texas, USA
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Education
University of Advancing Technology (UAT)
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Work
Independent Software Developer
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Joined
Aug 20, 2026
• Aug 20
I always lived by the idea that if you are uncomfortable but not dead, you are getting stronger. I bet you will find you learned quite a lot through the process. Just take it one step at a time in bite sized chunks and make sure to give yourself breaks!
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Architecting and engineering enterprise-grade AI solutions such as agentic workflows, RAG systems, and applied foundation models backed by highly scalable, cloud-native infrastructure.
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Location
Seoul, South Korea
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Joined
Aug 21, 2026
• Aug 21
Hello and welcome, Jj! creating apps using AI is a very common thing though just a piece of advice: projects never finished. Always plan your next move and improve your project constantly. Good luck!
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In the past projects never finished because time. Now never finish because always you can do something else!
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Learn and Build In-demand skills to crack your dream jobs with top-rated free courses and specialized pro courses.
• Aug 20
Hi DEV Community! 👋
We’re Great Learning, and we’re excited to be part of this amazing developer and tech community.
We’re here to learn, share, and connect with people who are curious about the technologies shaping the future. You can expect us to post interesting facts, practical articles, learning resources, and trending content around topics such as Artificial Intelligence, Generative AI, Python, Machine Learning, Data Science, Agentic AI, and much more.
Our goal is to make complex technology easier to understand while keeping you updated on what’s happening across the rapidly evolving world of AI and data.
We’re looking forward to learning from the DEV community, exchanging ideas, and sharing content that helps developers, learners, and tech enthusiasts grow.
Say hello and let us know what you’re currently learning! 💯
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