Skills and subagents: the agent reuse pattern
Skills package reusable capabilities; subagents isolate bounded-task execution. Together they form the most effective pattern for composing complex agents in 2026.
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Pragmatic software architecture: decisions, trade-offs and patterns that scale.
Skills package reusable capabilities; subagents isolate bounded-task execution. Together they form the most effective pattern for composing complex agents in 2026.
Kubernetes won the orchestration battle, but Docker Swarm stays maintained inside Docker Engine and makes real sense for small teams without dedicated SRE, self-hosted stacks on 1-5 VPS, and edge mini-clusters. In those contexts, Swarm's minimal learning curve and low operational cost outweigh Kubernetes's advanced features.
El concepto de Agent OS pasó del slide al despliegue en 2025. Seis meses en producción dejan patrones visibles: qué arquitecturas funcionan, dónde se rompe el modelo y qué aporta frente a correr agentes sobre pila existente.
A year after GraphRAG left the lab, one statistic holds: it works where corporate information has dense relational structure, fails where there are only loose documents. Patterns, ingestion costs, and architectural decisions that have survived a year of real deployment.
Twenty months after the initial announcement, Model Context Protocol went from curiosity to de-facto standard among agent clients and servers. What is available, which servers are worth it, which problems remain open, and how it compares to earlier protocol maps.
Six months after A2A landed at the Linux Foundation, and after several implementation cycles from Google, Microsoft, and open projects, what version 1 of the protocol means and whether it is safe to build on yet.
Con 1.34 liberado en agosto de 2025 y el ciclo de 1.35 en su última fase de congelación de funciones, qué llegará estable, qué quedará en beta, qué nos interesa a quienes mantenemos clústeres pequeños o medianos y qué podemos ignorar sin culpa hasta el siguiente ciclo.
La integración de WebAssembly dentro de containerd como tiempo de ejecución alternativo ha madurado. Ya es posible desplegar cargas mixtas Linux y Wasm en el mismo clúster de Kubernetes con argumentos operativos sólidos. Cuándo compensa y cuándo no.
With MCP solving the agent-to-tool layer, a parallel problem surfaces: how do two agents from different vendors communicate with each other. Google's Agent2Agent protocol, donated to the Linux Foundation in June 2025, tries to fill that gap with an open standard.
Un enrutador de inferencia decide qué modelo atiende cada petición en función de coste, latencia y complejidad. Bien diseñados reducen la factura de tokens sin que el usuario perciba degradación; mal diseñados introducen fallos sutiles difíciles de depurar.
TigerBeetle is a distributed database written in Zig, specialized in one specific kind of workload: high-volume double-entry accounting with strong consistency guarantees. It does not aim to replace Postgres; it aims to be the right tool when the problem is counting financial transactions at millions per second without subtle failures.
Tras la adquisición por Microsoft en 2019, Citus vivió un limbo comercial que terminó con Microsoft abriendo el código completo en 2022. Tres años después, la extensión de particionado para Postgres ha madurado y ofrece una ruta práctica para escalar sin abandonar el motor que ya conoces. Un repaso honesto.
SQLite lleva años ganando terreno en servidores reales gracias a WAL, a proyectos como Litestream y libSQL, y a hardware con discos rápidos. Repaso los patrones que siguen funcionando después de varios años de uso, los que no, y por qué el tamaño medio de una aplicación web se come ya sin despeinarse.
DuckDB has spent two or three years quietly working its way into data architectures. It is no longer just the embedded database for local analytics: in 2025 it keeps turning up in concrete enterprise cases where it replaces far pricier pieces. A tour of the real patterns.
Model Context Protocol turns ten months old since Anthropic's announcement, and it is no longer just a proposal: hundreds of servers, cross-vendor implementations and a public registry now back it. A look at what has worked, what is still weak, and why 2025 marks the shift from curiosity to basic infrastructure.
Distributed SQL databases have moved from promise to production reality. YugabyteDB and CockroachDB lead the segment from different angles. Choosing between them demands understanding what each design compromises and what horizontal scaling costs in practice.
Redpanda promises Kafka-protocol compatibility without the JVM, without ZooKeeper, and with a thread-per-core architecture. By 2025 there are already serious production deployments. It is worth understanding where the switch pays off and where it does not.
Six months after containerd 2.0 reached general availability there is enough real-world mileage to judge the migration from the 1.x branch in production. We cover what changes in the config file, what breaks on Kubernetes and Docker Swarm, and when planning the jump actually pays off.
PostgreSQL 17 llegó en septiembre con mejoras silenciosas del planificador. Seis meses en producción confirman que los escaneos SAOP, el streaming I/O y los anti-joins han cambiado planes de consulta reales sin tocar una línea de SQL.
Kubernetes 1.33 (Octarine) lands April 23. In-place pod resize moves to beta and ships on by default, sidecar containers finally reach GA, and several endpoint and security deprecations arrive that operators should review before upgrading from 1.32.
Coolify delivers a Vercel- or Heroku-like experience on your own servers: automatic HTTPS, managed databases, and branch previews without per-build or bandwidth fees. After several months using it on production VPS, here is where it shines, where it still has rough edges, and which teams will genuinely benefit from it.
GraphRAG has been in real enterprise use for over a year: during indexing, an LLM builds a knowledge graph that answers global questions about a corpus well, precisely where classic RAG fails because no single chunk holds the full answer. Here I compare indexing costs, the cases where it pays off, and the hybrid pattern that teams have settled on.
MariaDB 11.7 (November 2024) adds native vector search with an HNSW index, JSON improvements via JSON_OBJECT_AGG, and 5-15% faster read workloads versus 11.5. Against MySQL 8, the edge is not depending on HeatWave for embeddings; against PostgreSQL, it still trails on JSON depth and data types.
DuckDB es el motor analítico embebido que ha cambiado el panorama. Lee Parquet y CSV directamente, vectoriza la ejecución y cabe dentro de tu proceso Python. Un repaso a cuándo sustituye de verdad a un data warehouse.