We're all learning how to ship more side projects. If you're "in the bubble" it can feel like everyone is repo-maxxing. Shipping weekly. Spinning up agents to scaffold full apps overnight. New OSS dropped every Friday. The reality I see with most developers is much more normal: They have six or seven repos sitting in various states of half-attention. A side project from last year that still gets a
The Problem If you're like me, you live in your terminal. You've got Docker containers running for databases, Redis instances for caching, microservices doing their thing — and you're constantly context-switching to check on them. # The old way: docker ps docker logs my-app -n 50 docker stats docker inspect some_container # ... back and forth, breaking your flow Now imagine you're working with
Hey dev.to community! I just launched CodeLens AI — an AI-powered code review tool that automatically reviews every pull request. Connect your GitHub repo Open a PR AI automatically reviews the code Detailed review comment posted on PR Bugs and logic errors SQL injection and security vulnerabilities Performance issues Code quality improvements Next.js + TypeScript NextAuth + GitHub OAuth Supabase
If your team works with geospatial data, sooner or later you need a place where maps, layers, users, and edits live together. There are many capable SaaS platforms and proprietary solutions you can deploy on your own infrastructure, but there is another path: self-hosting an open-source Web GIS server. In this tutorial, we will deploy NextGIS Web on a low-cost VPS using Docker, and then configure
Exemplo mínimo de uso com Bun (baseado na documentação oficial) Aviso: Este exemplo é puramente acadêmico, baseado na documentação oficial do Next.js. Para um ambiente de produção real, ajustes adicionais de segurança, performance e monitoramento são necessários. 1 - Ajustar o next.config.ts para "Standalone": import type { NextConfig } from "next"; const nextConfig: NextConfig = { output: "
Why We Open-Sourced Our AI Safety Layer When we built the AI safety layer for As You Wish (AYW), we faced a choice: keep it proprietary or open-source it to help the community. Here's why we chose the latter (and why it made our platform stronger). If you're building AI-assisted development tools, you need: Input validation (sanitizing prompts, preventing injection) Output filtering (catching u
If you want to Automate GitHub PRs, the real goal is not just adding another bot comment to a pull request. The goal is to give reviewers the context they usually have to gather manually: who owns the service, whether it is deployed, whether basic repository standards are in place, and whether the change looks safe to merge. A useful AI pull request workflow can do exactly that. When a PR opens, i