Danny Mesa

3 errores de Docker que ralentizan tus builds y cómo arreglarlos en minutos Estás cometiendo estos errores en tus Dockerfiles y por eso tus builds tardan tanto. Aquí te explico cómo solucionarlos rápido fernando-herrera.com/course/docker-… #Docker #Dockerfile #DevOps #Containers #Builds #DesarrolloDeSoftware #BuenasPracticas Docker, Dockerfile, DevOps, contenedores, builds, desarrollo de software, buenas prácticas, optimización, imágenes Docker

Nueva release de Gentle AI: v1.28.2 ya está disponible. Si usás Claude Code, OpenCode y PI con Gentle AI, este update te resuelve dos problemas reales que la comunidad venía reportando: 1. Skill Registry persistente en startup El .atl/skill-registry.md ahora se refresca automáticamente al arrancar tu agente, con cache por fingerprint. Si lo borraste sin querer, se regenera solo en el primer prompt. Funciona via hook UserPromptSubmit en Claude Code y via chat system transform hook en OpenCode. Atómico, sin tocar tu .gitignore. 2. Backups más inteligentes Los upgrade backups ahora incluyen únicamente archivos manejados por Gentle AI, no caminan el directorio entero de config de tus agentes. Además se saltean archivos no regulares (sockets Unix, FIFOs, devices, directorios). ¿Te acordás de los errores tratando de archivar ~/.pi/agent/intercom/broker.sock? Se terminaron. Otras mejoras de la 1.28: ✅ Parent-orchestrator delegation enforcement en SDD: cuando aparece complejidad (4+ archivos, multi-file writes, PR readiness, incidentes), los orquestadores delegan en vez de hacerlo monolítico. ✅ Solo-agent platforms usan reglas equivalentes de phase-boundary cuando no hay subagents nativos. ✅ Go baseline a 1.25.10, CI/release/E2E alineados. ✅ Cleanup de hooks viejos SessionStart durante uninstall. Gracias enorme a @mata-2p por el PR original que destapó este edge case y empujó el upgrade de Go. github.com/Gentleman-Prog… #AI #DeveloperTools #ClaudeCode #OpenCode #OpenSource #SoftwareArchitecture

Tengo un vídeo en el que hablo de conceptos básicos de Frontend más allá de frameworks. El event loop, conceptos de los navegadores, y en general conceptos a alto nivel que te ayudarán a desarrollar mejor (aunque utilices IA). Ahí va el link! f.mtr.cool/hhdiyszrqz

Diferencias entre Claude Code y OpenClaw a nivel de sistema, runtime, arquitectura, memoria y multi-agentes (creado por ByteByteGo).

Cuando te mandan a corregir un pequeño bug y descubres la deuda técnica...

@_nasch_ @codedgar_dev Si importa profe

@codedgar_dev se viene video, nadie lo pidió pero no importa

Uso Arch Linux por si no lo sabían.

Starting a new project shouldn’t mean rebuilding your setup from scratch. Experiment: init from an existing project (local or remote) and bring over components (including customizations), theme, fonts, deps, the whole setup and file structure. Works cross-framework: start a TanStack app from an existing Vite app.

agent-browser v0.27 Big day for agents and browsers → React introspection: react tree, react inspect, react renders, react suspense for component trees, props/hooks/state, render profiling, and Suspense analysis → Web Vitals: vitals command reports LCP, CLS, TTFB, FCP, INP + React hydration phases → SPA navigation: pushstate for client-side nav without full page loads → Init scripts: --init-script and --enable flags to register scripts before first navigation → Network route filtering by resource type → cURL cookie import (JSON, cURL, Cookie-header formats) → Dashboard works behind reverse proxies Thanks to @thoma33 @andrewqu @shaper for being part of this release! github.com/vercel-labs/ag…

10 GitHub repos that distill the world's smartest people into AI you can run on your laptop. In 2026, the greatest minds of our time became installable. Bookmark this list — you will not see anything stranger this year. 1. andrej-karpathy-skills A single markdown file distilling Andrej Karpathy's wisdom on AI coding. 109K+ stars. The most starred single-file repo in GitHub history. Repo → github.com/forrestchang/a… 2. MemPalace Milla Jovovich, the Resident Evil actress, co-built this AI memory system using Claude Code. Near-perfect score on the LongMemEval benchmark. Repo → github.com/MemPalace/memp… 3. autoresearch Karpathy's own research automation framework. 23K stars in three days. The closest thing to having Karpathy as your research partner. Repo → github.com/karpathy/autor… 4. awesome-claude-code The canonical playbook for Claude Code, the AI coding tool used inside FAANG, OpenAI, and Anthropic. Repo → github.com/hesreallyhim/a… 5. SuperClaude Framework The complete Claude Code methodology distilled into a deployable framework. Personas, commands, prompts, workflows. Repo → github.com/SuperClaude-Or… 6. AI-Agents-for-Beginners Microsoft's free 12-lesson course on building AI agents. Real code, real exercises, real production patterns. Repo → github.com/microsoft/ai-a… 7. awesome-llm-apps 106K+ stars. The most comprehensive collection of working AI applications on GitHub. Repo → github.com/Shubhamsaboo/a… 8. mattpocock/skills TypeScript wizard Matt Pocock's daily coding workflow, open-sourced. Planning, TDD, architecture, git guardrails. Repo → github.com/mattpocock/ski… 9. hermes-agent The self-evolving AI agent. Extracts skills from every conversation and gets smarter the more you use it. Repo → github.com/NousResearch/h… 10. qlib Microsoft's full quant investment platform. The brain of a hedge fund analyst, free to clone. Repo → github.com/microsoft/qlib Here's the wildest part: A Hollywood actress, a Stanford AI legend, a TypeScript world-class teacher, and Microsoft's research division all just open-sourced their thinking. You don't need to be Karpathy. You don't need to be Milla Jovovich. You don't need a degree, a PhD, or a team. You need a laptop, a weekend, and these 10 repos. The greatest minds of our time are now installable. Most people will scroll past this. The ones who don't will compound. Save this before you forget. 100% free. 100% open source.

Ahora Claude Code puede leer documentaciones completas sin gastar un solo token. Solo necesitas conectarlo a NotebookLM de Google vía MCP. Aquí el tutorial de cómo hacerlo. ⬇️

Claude te da la razón aunque estés equivocado 🤷‍♂️ Hasta que instalas LLM Council. Haces una pregunta → 5 asesores la atacan desde ángulos distintos → se revisan entre ellos → te dan un veredicto claro. Cómo funciona: 1. Haces una pregunta real (decisión, no teoría) 2. 5 perspectivas la analizan 3. Se evalúan entre ellos de forma anónima 4. Un “chairman” sintetiza veredicto + decide el siguiente paso Sigue estos 4 pasos: 1.Descarga el skill (enlace abajo) 2.Abre “Customize skills” en Claude 3.Sube SKILL.md 4.Escribe /llm-council Claude te valida. Esto te corrige.

How to design anything in Claude in 5 mins: (even if you've only ever used the basic chat) 1. Open claude .ai/design (it has its own URL). 2. Format: Wireframe, Slides, template or Freeform. 3. Sign in with a Pro or Max plan. 4. Use my full setup guide: claudedesign.free. Before you prompt, get a DESIGN .md: 1. Drop every brand asset into a Cowork folder. Prompt: "Save the design system as DESIGN .md" 2. OR steal one in 30 secs from getdesign .md (Airbnb, Ferrari, Pepsi, any brand) ✦ Then stop describing pixels. Paste this instead: "Build a pricing page. 3 tiers, monthly/annual toggle, sticky CTA on mobile. Match our homepage tone." ✦ Good prompts have goals, layout, content & constraints. It reads DESIGN .md to build the page. ✦ For pitch decks, never ask for slides directly. Generate a 30-sec animated video first, then in the same chat: "convert the video into a slide pitch deck." ✦ Iterate in two places: Structural change in chat: "Give 3 different layouts." Pixel changes in canvas. Click edit, it lights up green ✦ Always validate before you export: "List WCAG 2.1 AA violations with fixes." "Generate desktop, tablet, and mobile versions." "Suggest 2 A/B variations of the hero section." ✦ Top right → Export. In PPTX, PDF, standalone HTML, or a bundle for Claude Code format. The secret is knowing how to prompt. But to go even deeper, use my full guide: claudedesign.free. (save this if you can't design - you won't need to)

I wrote 35 articles for 35 system design concepts: 1) Microservices: lucode.co/microservices-… 2) Redis: lucode.co/redis-explaine… 3) Event-driven architecture: lucode.co/event-driven-a… 4) Database indexing: lucode.co/database-index… 5) Circuit breakers: lucode.co/circuit-breake… 6) ACID vs BASE: lucode.co/acid-vs-base-l… 7) Rate limiting: lucode.co/rate-limiting-… PS - if you want a structured path, get my free 142-page System Design Handbook when you join my free weekly newsletter → lucode.co/system-design-… 8) Observability: lucode.co/observability-… 9) System design quality attributes: lucode.co/system-design-… 10) CAP theorem: lucode.co/cap-theorem-li… 11) Idempotency: lucode.co/idempotency-in… 12) REST APIs: lnkd.in/gi5zd2jR 13) Sync vs Async: lnkd.in/gG-EnbA9 14) Network protocols: lucode.co/network-protoc… 15) Change Data Capture (CDC): lucode.co/change-data-ca… 16) CI/CD pipelines: lucode.co/ci-cd-lil1nlsm 17). SSO (single sign-on): lnkd.in/gXdVyqBg 18) JWT: lucode.co/json-web-token… 19) gRPC: lucode.co/grpc-explained… 20) Health checks vs heartbeats: lucode.co/health-checks-… 21) API gateway vs load balancer vs reverse proxy: lucode.co/api-gateway-vs… 22) HTTPS: lucode.co/https-explaine… 23) Load balancing algorithms: lucode.co/load-balancing… 24) Database caching: lucode.co/database-cachi… 25) API protocols: lucode.co/api-architectu… 26) CDN: lucode.co/cdn-lil1nlsm 27) Database types: lucode.co/database-types… 28) Message Queues: lucode.co/message-queues… 29) Hashing vs encryption vs tokenization: lnkd.in/gfqGYQnq 30) Service Discovery: lucode.co/service-discov… 31) Pub/Sub: lucode.co/pub-sub-lil1nl… 32) Connection pooling: lucode.co/connection-poo… 33) Forward proxy vs reverse proxy: lucode.co/forward-vs-rev… 34) Consistent hashing: lucode.co/consistent-has… 35) SQL vs NoSQL:lucode.co/sql-vs-nosql-l… —— 👋 PS: Get my free 142-page System Design Handbook when you join my free weekly newsletter. Join 33,000+ engineers → lucode.co/system-design-… —— ♻️ Repost to help others learn system design. ➕ Follow me ( Nikki Siapno ) to become good at system design.

GitHub acaba de matar el vibe coding? Su nuevo repo spec-kit ya lleva 92k estrellas, y muestra hacia dónde va de verdad el desarrollo con IA. Esto es lo que hace: En vez de pedirle a tu IA "hazme una app de tareas" y rezar… ejecutas 6 comandos que convierten tu idea en una especificación estructurada que el agente puede ejecutar: /speckit.constitution → define las reglas del proyecto (calidad, testing, UX) /speckit.specify → describe QUÉ construir (no la tecnología) /speckit.clarify → la IA hace preguntas para eliminar ambigüedades /speckit.plan → ahora sí, eliges el stack /speckit.tasks → genera una lista de tareas ordenada por dependencias /speckit.implement → el agente lo construye El entregable ya no es el código. Es una especificación viva que tu IA lee, discute y ejecuta. Funciona con Claude Code, Copilot, Cursor, Codex, Gemini y 25+ agentes más. El cambio que casi nadie está viendo: "La IA escribe código" → "La IA ejecuta una especificación." El desarrollo centrado en la intención es el nuevo estándar.

Hooks te permiten ejecutar acciones automáticas en momentos específicos del ciclo del agente. Por ejemplo: - bloquear comandos peligrosos antes de que se ejecuten - correr Prettier automáticamente después de editar archivos - lanzar tests - mandar notificaciones - ejecutar scripts al finalizar tareas Y lo importante:
son deterministas. No dependen de que el modelo “se acuerde”.
Se ejecutan siempre.

Chrome just became massively more agent-friendly 🔥 Your real, signed-in browser can now be natively accessible to any coding agent. No extensions. No headless browser. No screenshots. No separate logins. Just one toggle to enable it. Check this out: developer.chrome.com/blog/chrome-de…

repo link: → github.com/addyosmani/age… Shoutout to @addyosmani for building this and making it open-source for the community! 🤗 Don't forget to drop a ⭐️ on to help boost visibility!

🚨 You need to see this. @addyosmani from Google just dropped his new Agent Skills and it's incredible. It brings 19 engineering skills + 7 commands to AI coding agents, all inspired by Google best practices 🤯 AI coding agents are powerful, but left alone, they take shortcuts. They skip specs, tests, and security reviews, optimizing for "done" over "correct." Addy built this to fix that. Each skill encodes the workflows and quality gates that senior engineers actually use: spec before code, test before merge, measure before optimize. The full lifecycle is covered: → Define - refine ideas, write specs before a single line of code → Plan - decompose into small, verifiable tasks → Build - incremental implementation, context engineering, clean API design → Verify - TDD, browser testing with DevTools, systematic debugging → Review - code quality, security hardening, performance optimization → Ship - git workflow, CI/CD, ADRs, pre-launch checklists Features 7 slash commands: (/spec, /plan, /build, /test, /review, /code-simplify, /ship) that map to this lifecycle. It works with: ✦ Claude Code ✦ Cursor ✦ Antigravity ✦ ... and any agent accepting Markdown. Baking in Google-tier engineering culture (Shift Left, Chesterton's Fence, Hyrum's Law) directly into your agent's step-by-step workflow! `npx skills add addyosmani/agent-skills` Free and open-source. Repo link in 🧵↓

Want to give your agent quality checks? Chrome's DevTools MCP now includes: ⚡️ Performance checks via Lighthouse 📈 Memory leak detection Skill 🦻 Accessibility debugging Skill 🎨 LCP optimization Skill and an experimental new CLI 👀

"Skills push the agent through the same phases a senior engineer forces themselves through, because shipping the code without them is how you produce incidents." addyosmani.com/blog/agent-ski… < @addyosmani's popular skills encode key parts of Google's engineering culture.