Knowledge base
Practical guides, case studies and best practices from the Xseven engineering team.
A reflection on software in the age of AI: building working products is becoming more accessible, but production, security, maintainability and responsibility remain real engineering problems.
Read moreA reflection on local uncensored AI models, from hands-on experimentation with personal AI hardware to LM Studio, llama.cpp, safety, responsibility and unfiltered access to potentially harmful capabilities.
Read moreStarting from Salvatore Sanfilippo's observations on Claude Fable 5 and GPT 5.5, a critical reflection on benchmarks, coding agents, project context and AI model evaluation.
Read moreA reflection on the often underestimated role of Sysadmins, DevOps and SREs: responsibility, troubleshooting, scale, automation, AI and necessary boundaries in shared infrastructure.
Read moreGenerative AI can sound convincing and empathetic, but it does not feel, intend or care. A reflection on LLMs, anthropomorphism, education and responsibility for generations growing up with AI.
Read moreAfter Anthropic's article on recursive self-improvement, a reflection on AI governance, credible pauses, company competition, government power, risks and possibilities.
Read morePrivate AI is not just running an LLM on private infrastructure. It is the discipline of connecting AI to enterprise knowledge, processes and governance while keeping control over data, access and compliance.
Read moreHow we migrated a production workload from AWS to Leaseweb bare-metal servers, cutting costs from tens of thousands to a few thousand euros per month while improving reliability, performance and operational control.
Read moreFrom throwing applications over the wall to shared ownership of the entire delivery lifecycle — what DevOps actually means, why it works, and what changes when an organisation genuinely adopts it.
Read moreA practical Kubernetes cost optimization guide: namespace cost allocation, right-sizing, VPA, HPA, spot nodes, Karpenter, quotas, cleanup and FinOps routines.
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