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if you are a solo founder or startup founder building a backend API, you already know the pain. i built doocloud for that exact pain. doocloud handles auth, CRUD, configuration, docker, deployment, custom domains, cors, rate limiting, logs. But it's not magic. so you stop rebuilding setup. doocloud.
JSNation is coming soon, and besides my talk (I’ll drop the link in the comments so I don’t spam you with it for the tenth time 😅), there are also discussion rooms. And somehow, I got invited to two of them. Now, a normal person would probably stop for a second and think: “Do I even have time for t
The Problem We Were Actually Solving I was tasked with configuring a treasure hunt engine for a large-scale online game, where thousands of users would be interacting with the system simultaneously. The goal was to ensure the long-term health of our servers, while also providing a seamless experienc
AI Coding Agents Still Forget Everything — So I Built the Memory Layer Underneath Them AI coding agents are getting very good at editing files, running tests, and opening PRs. After heavily using tools like Cursor, Claude Code, and GitHub Copilot, I noticed they all share the same core limitation: T
The Problem We Were Actually Solving I was tasked with ensuring our treasure hunt engine could scale to meet the demands of our player base, which had been growing exponentially since the launch of our game. The engine was responsible for generating random treasure hunts, and it was clear that our c
For a while I looked at "average order value" and called it my per-user revenue. It felt close enough. It wasn't — because AOV is per order, not per person, and it hides the fact that most of my users weren't buying at all. The metric that fixed my thinking was ARPU. This post covers what ARPU actua
TL;DR: Our DPO pipeline used a single LLM as the preference judge. Training reward climbed every run. Production accuracy fell 4 points. The judge was flipping its own labels 28% of the time at temperature 0. Nexus Labs ships agents that book travel, file expenses, process insurance claims. Eight en
[ERROR] node "GPT Decision" execution_id=9f...3a status=failure cause: structured_output_schema_violation retries: 6 total_runtime_ms: 184302 workflow: invoice-router-v3 owner: ap-team That node ran 47 times today. Each run burned three retries before n8n gave up. Cost on the OpenAI side was real mo
Artificial Intelligence conversations have changed dramatically over the last two years. Not long ago, most discussions revolved around flashy demos, viral AI tools, and predictions about machines replacing humans. But listening to the conversations happening across the AI ThoughtMakers podcast reve
I built a Python CLI that fetches real-time Solana DEX liquidity data — no pip install, no API key, just the standard library and a terminal. Here's how it works and why I made it. If you trade or monitor Solana DeFi, you probably check DexScreener multiple times a day. Their web UI is great, but th
Why Your API Gateway Might Be Your Biggest Compliance Liability Your microservices architecture handles thousands of customer verification requests per hour. Data flows between services, gets cached in Redis, logged to Elasticsearch, and backed up to S3. Everything works beautifully until your compl
April 25, 2026. 9 seconds. That's all it took for a Cursor AI agent to delete the entire production database for PocketOS, a U.S. car-rental software startup. Not just the database. The volume-level backups too. The founder posted about it on X. 6.9 million views. The agent hadn't malfunctioned. It
Overview We're given two files — an HAProxy load balancer config and a Flask app. The goal is to retrieve the flag hidden on the backup server. Category: Web Exploitation | Difficulty: Medium | Tools: Python, requests, HAProxy config analysis backend servers option httpchk GET / http-check expect st
The Problem We Were Actually Solving It wasnt supposed to be a language swap. We had built the Treasure Hunt Engine on Go 1.20, using channels and sync.Pool to keep each players state off the GC. At 100k concurrent hunters, the p99 latency sat at 34 ms and allocations were 42 MB/s. But the moment lo
The Problem We Were Actually Solving We assumed Postgres could keep up with event ordering. We were wrong. The real performance killer wasnt the database—it was our event configuration model. Veltrix tracked three things per event: user_id, event_type, and timestamp. We used a GIN index on (user_id,
I recently talked with a few viewers offline about how they use AI in daily work. One pattern was clear: they do use AI, but mostly as a chatbot. Ask a question. Get an answer. Ask for a rewrite. Get a cleaner paragraph. Ask for a summary. Get a summary. That is useful. But it is not the same as usi
🚀 My Journey Begins on DEV Community — Building Startups, Communities & AI-Powered Solutions I’m Sai Kiran BK — a student entrepreneur, developer, founder, creator and community builder passionate about building impactful technology, empowering students, and creating real-world solutions through AI
So you want to know what Ethereum address is behind an ENS name like vitalik.eth? Or maybe you got an address and need to find its ENS name? Say hello to ens_resolver — a single-file Python CLI that does exactly that, with zero pip dependencies. ens_resolver is a lightweight CLI tool that talks dire
I've spent the last few months building AI integrations for both a Fortune 500 company and a 3-person SaaS startup. The requirements were almost completely opposite. Yet somehow, the same fundamental architecture worked for both — it just needed different configuration, not different code. Here's wh
The Problem We Were Actually Solving Hytales treasure-hunt system is a micro-game that can run inside any public or private server shard. The twist is that maps can change dynamically while the hunt is live, so operators can drop new treasure chests through the Veltrix admin UI and the engine has to
