There is a moment every developer reaches, usually late at night, when something breaks and you realize you no longer understand your own setup. At first, it feels manageable. One VPS, one IP address, one SSH command. You memorize it. You trust it. You build on top of it. Then comes the second server. And the third. Suddenly you are juggling keys, IPs, environments, and access rules. You forget wh
Been spending the last ~10 days getting hands-on with Solana as part of a hackathon. Went in expecting things to feel completely different from what I’m used to. It wasn’t as far off as I thought. What I’ve Done So Far Generated a keypair + airdropped devnet SOL Created a wallet and checked balance programmatically Understood SOL vs lamports Connected a browser wallet Read on-chain data (accounts,
In Q3 2024, our 12-person platform engineering team reduced confirmed security incidents by 41.7% (from 72 to 42 per quarter) after rolling out Trivy 0.50 for pre-deployment scanning and Falco 0.40 for runtime detection across 142 production microservices. We didn’t rewrite our CI/CD pipeline, we didn’t hire a dedicated security team, and we didn’t spend a dime on enterprise security tools. Here’s
AgentFlow — The Python Framework for Production AI Agents Stop rebuilding the same agent infrastructure. AgentFlow gives you auth, streaming, persistence, and a React frontend — out of the box. AgentFlow (10xscale-agentflow on PyPI) is an open-source Python framework for building and deploying multi-agent AI systems. Write your agent graph once. Run it locally. Ship it to production without rew
Introduction Placing RDS in a private subnet protects it from unauthorized external access — but it also means you can no longer connect directly from your developer machine. This article walks you through a step-by-step guide to securely connect to a private-subnet RDS (PostgreSQL) instance using AWS Client VPN. Developer PC │ │ UDP 443 (TLS / Mutual Certificate Authentication) ▼ Client
AI is no longer just a tool that assists software teams from the outside. It is becoming part of the engineering lifecycle itself, helping generate code, shape decisions, review changes, automate workflows, and influence what eventually gets shipped. That creates a new architectural problem. For years, Git gave software teams a reliable way to track code: what changed, when it changed, and who cha
A some time ago I shipped a desktop app to generate LLM fine-tuning datasets. It worked: my Qwen2.5-Coder-7B fine-tune jumped from 55.5% → 72.3% on HumanEval. Whole pipeline ran on OpenRouter — pick a model, click Generate, get JSONL. v1.0.3-beta ships multi-provider LLM support — Ollama, LM Studio, llama.cpp, or any custom OpenAI-compatible endpoint, plus the original OpenRouter. Mix and match: g
What Chromium versions are major browsers are on?