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
DeepClaude: combiné Claude Code con DeepSeek V4 Pro en mi loop de agentes y los números me desconcertaron DeepSeek V4 Pro resuelve correctamente el 94% de las tareas de razonamiento profundo en mi loop… pero el costo de latencia lo hace inutilizable para el 60% de mis casos de agente. Sí, leíste bien. Y eso cambia completamente la narrativa de "combinar modelos es siempre mejor". El martes a la
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
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
How I Used GitHub Actions to Auto-Publish to AMO on Every Release Manually uploading extension files to AMO (Mozilla's Add-On Observatory) is tedious. After the fifth time forgetting to increment the version number, I automated it with GitHub Actions. Here's exactly how I set up the pipeline for the Weather & Clock Dashboard extension. Trigger on new GitHub release Validate the manifest version
El problema real Cuando trabajas en DevOps, inevitablemente enfrentas el caos de gestionar infraestructura manualmente. Cambios undocumentados, configuraciones inconsistentes entre ambientes y actualizaciones que rompen lo que funcionaba. Terraform resuelve esto con un workflow estructurado que convierte tu infraestructura en código versionable y reproducible. El workflow de Terraform es el cicl
El Problema Real Cuando comenzamos a usar Terraform, muchos nos hacemos la misma pregunta: ¿cómo sabe Terraform qué recursos ya existen en la nube? La respuesta está en el state file, un archivo que frecuentemente causa dolores de cabeza innecesarios cuando no se entiende bien. El state file es un archivo JSON que Terraform mantiene como fuente única de verdad sobre tu infraestructura. Contiene