Category
Methodologies that respect your time: lightweight processes for small teams.
LLM red teaming has gone from an esoteric activity to a mandatory practice. With the OWASP Agentic Top 10 and the CSA Agentic AI Red Teaming Guide converging on shared vocabulary, this is the operational playbook any team deploying agents needs to have.
Después de año y medio llenando tableros con agentes en producción, la pregunta que separa equipos que envían fiable de los que van a ciegas sigue siendo la misma: ¿cómo mides que el agente está funcionando?
After two years of pilots and a year of agents in production, governance has moved from an aspirational committee to an operational control. What audits ask for, what broke in 2025, and which guardrails absorb most incidents.
Sixteen months after Anthropic first shipped computer use, with browser-use, OpenAI Operator and Gemini Computer Use all pushing in parallel, agents that drive the browser and desktop have moved from demo to real workflows. Time to review which patterns survive when you run them daily in production.
A principios de 2026, varias plataformas de orquestación incluyen carbon-aware scheduling como opción por defecto o muy visible. Con meses de datos reales, toca evaluar si la promesa de reducir emisiones sin dañar rendimiento se cumple y en qué escenarios.
Los cuadros de mando con IA llevan un par de años prometiendo detección de anomalías mágica y causa raíz automática. La realidad es más modesta pero también más útil, si se sabe separar el ruido del valor real. Repaso honesto de qué funciona y qué no.
Large language models have spent two years promising effortless documentation for code, APIs and architecture. After watching dozens of projects try it, clear patterns emerge for where it works and where it just becomes more debt.
OpenSSH added hybrid post-quantum key exchange with ML-KEM in version 9.9 and made it the default algorithm in 10.0. The question is no longer whether to migrate SSH to post-quantum, but how to do it without breaking old clients: enable the hybrid mode, keep a classical fallback, and verify with ssh -v that the active algorithm is the right one.
AI agents are starting to earn a real place in continuous integration pipelines: reviewing diffs, proposing fixes, generating missing tests. Six months of real-world use to separate the patterns that work from the ones that end up costing more time than they save.
In AI systems the real cost is not EC2 instances but input tokens in RAG and agents, chained tool calls, and frequent reindexing; those vectors, plus unattributed experimental spend, concentrate most of the monthly production bill.
Un sistema RAG sin evaluación continua se degrada en silencio. Los índices cambian, los modelos se actualizan, los usuarios preguntan cosas nuevas. Este es un repaso práctico de qué métricas vigilar y cómo montar el cuadro de mando que avisa antes del incidente.
AI agents have moved from a lab curiosity to serious SDKs from three major providers. A reflection on moving from the flashy demo to an internal use case that shifts a real, measurable metric.
Semgrep has grown into one of the most pragmatic static analyzers in the ecosystem. A look at why it works where other SAST tools fail, and how to fit it into a pipeline without turning it into noise.
A badly configured Alertmanager turns every incident into noise: a single unrouted receiver ends with an ignored Slack channel within a week. This article covers, on Alertmanager 0.27 and Prometheus 2.54, how to design the routing tree, inhibition rules, silences and on-call rotations to curb alert fatigue without losing real incidents.
Choosing an open LLM for enterprise in 2024 is no longer just Llama 2: Mistral, Mixtral, Qwen, Yi, DeepSeek, and Phi-2 all compete with different licences and sizes. The criteria that actually decide are commercial licence, available hardware, language support, and your own evaluation on real use cases, not just the trendy benchmark.
