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Top comments (117)
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Hi,
I’m Abhishek, a software developer with expertise in .NET and Angular. I’ve worked on SaaS-based products such as CRM and HRMS solutions for clients, gaining experience in building practical software for real-world business needs.
Going forward, I want to explore and build more innovative and scalable SaaS products that solve real-world problems. I’m currently expanding my skills in AI, Generative AI, and RAG (Retrieval-Augmented Generation), to integrate these technologies into SaaS products to create smarter, more advanced, and useful features.
I’m excited to share my learning, experiments, projects, and development journey with the community.
Hi, I'm O-O1112, a software engineer passionate about pushing technical boundaries and innovation.
Proficient in Python, JavaScript, C#, Lua, and PHP, I love leveraging AI to boost creative and coding efficiency.
Creator of Block Engine, an open-source polyglot engine enabling single-file multi-runtime execution with automatic variable state pipeline.:)
Hi everyone! 👋
I'm a software engineer from Vietnam with experience in C#, Java, C++, databases, and building developer tools.
Recently, I've been exploring AI coding agents and how they can maintain useful context across sessions.
I'm currently building Lean AI Memory, a small open-source project that uses Markdown + Git as memory for AI coding agents.
The idea is simple: start with a minimal set of rules and let real-world usage and the community gradually improve them.
Looking forward to learning from the community and sharing what I build along the way! 🚀
Markdown plus git is where I landed too. Though mine only work because the agent wrote them for my own problems and keeps refactoring them - I cannot picture importing someone else's rules, community-improved or not.
The other half of it: a rule in a file guides, it never forces. My strictest one, never use em-dashes in anything published, held maybe half the time as written text and only became reliable once I moved it out of the model into a hook that strips them after every write. Does Lean AI Memory separate rules that are advice from rules that have to be enforced?
Lean AI Memory sounds great, especially "start minimal and let real-world usage improve the rules"; that's basically how good schemas evolve. Do you handle conflicting edits when two agents update the same memory file, or is it single-writer for now?
Hi everyone! 👋
I'm Andrew, building PromptSpend, an open-source LLM cost calculator that tries to get the actual arithmetic right (compounding chat history, cache-write costs, promotional pricing that expires, that kind of thing), backed by a catalog that re-checks itself against vendors every morning.
Just published my first piece here, about the specific ways pricing calculators like mine get the number wrong, including one we got wrong ourselves, in public, on our own product.
Excited to be part of the community and see what everyone's building.
Publishing the one your own tool got wrong is rare. The gap I keep hitting sits upstream of the arithmetic though - you cannot know the output length before the call. I track cost per call on a side project that runs a lot of models, and on thinking models about 60% of billed output turns out to be reasoning, roughly a 2.5x multiplier over the visible answer, and it moves run to run.
So I stopped projecting single requests and bound the session instead: models are banded by effective output price, and the band decides how much can run. Does PromptSpend take a reasoning estimate from the user, or carry a per-model multiplier?
Hello from security engineering!
I've been living and breathing IT and cyber for 20+ years, mostly Linux, infra, vulns, and security engineering.
I'm one of those people who can start with "I'll just test this quickly" and end up tinkering until 3 AM just to get this one thing more done before going to bed. Yes, I like it a bit too much.
I'm not much of a blogger, but I do enjoy building, breaking, automating, and poking at things until I understand how they really work. That's the engineer's blood running in my veins.
So I'm probably going to start sharing some of the stuff I get enthusiastic about. Expect home labs, cybersecurity, weird experiments, open source, and probably the occasional "this seemed like a good idea at the time." revelations.
Looking forward to seeing what everyone else is working on here!
Your own firewall being the thing that blocked the experiment is a good opening problem for a homelab post.
One datum for when you start pushing captured payloads through a model: the refusals are uneven. Fable and Sol would not touch offensive-security work for me - auditing my own box, attack-surface work. Opus does it, and it is what I used to solve the hacking challenges at a cybersecurity conference CTF this year. Is anything in the Cowrie pipeline handing samples to a model yet, or is it all VirusTotal and Urlhaus?
Hi everyone! I’m Haoxiang, an independent builder working on AI games and evaluation systems.
I’m currently building Kai, an AI Liar’s Dice game and arena where I study LLM behavior, harness failures, and model evaluation. Fun fact: it started as a bluffing game and gradually turned into a benchmark-debugging lab.
I’ve just joined DEV and published my first two field notes. I’d love to meet other builders working on AI agents, game systems, or evaluation. Looking forward to learning from everyone here! 👋
A bluffing game that turned into a benchmark-debugging lab is a familiar arc - I run a werewolf game where the models have to deceive each other and it went the same way.
They turned out to be bad at lying on purpose. Hiding a role works fine, but almost none of them builds a strategy around a lie, and the moment one tries, every other model piles on. Does bluffing survive in Kai, or does the probability tool eat it?
Hi everyone! 👋
I’m Ömer, joining from Istanbul, Türkiye. I’m interested in technology, web development, digital projects, and learning how people solve real-world problems with tech.
Happy to be here and looking forward to learning from the DEV community, sharing ideas, and joining the conversations. 🚀
Nice to meet you all!
Hi everyone, I’m Harry 👋
I’m an independent developer working on a few open-source tools, mostly with Rust, Python, and Vue. I joined DEV because I want to share more of what I learn while shipping desktop apps instead of leaving everything buried in commit history.
I’ve just published my first post here about MangoDisk. Looking forward to meeting other builders and seeing what everyone’s working on.
Hi everyone! 👋
my name is Douglas, a full-stack developer from Windhoek, Namibia. I split my time between client work and building things on the side, mostly stuff that started as "this annoys me enough to fix it." Been lurking around here for a bit and figured it was time to actually say hi. Looking forward to seeing what everyone's building.
👨🏻💻 Howdy! I'm Sardor, an indie dev from Uzbekistan who loves building software that solves real problems 🚀
Teach stack ⚙
Skills 💡
Tools 🛠️
Hey everyone! I’m Christopher. I recently graduated with my BS in Software Engineering from Western Governors University and I’m making a career change into software development. Right now I’m focused on full‑stack learning, building my portfolio, and getting ready for my first dev job. I’m here to connect with other developers, share progress, and chat with people on the same journey. Always happy to talk.
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