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Hands-on guides to AI infrastructure, MLOps, models, and shipping to production.
Secure enterprise AI agents with MCP OAuth 2.1, VPN-isolated tools, and HashiCorp Vault leases that auto-rotate and expire — plus Claude, OpenAI, and Cursor recommendations.
Workstation rewrite of AWS What is Deep Learning: neural networks, generative AI, vision/speech/NLP/recommendations, and how teams ship DL in the cloud or on Kubernetes.
Kimi K3 pushes open-weight models into frontier agent territory. What changed for developers, vLLM serving, MCP, and Workstation production advice.
Workstation take on Claude Opus 5 on Amazon Bedrock: agentic coding, long-running agents, 1M context, ZDR by default, and how teams should adopt it.
How a wise developer works a new project — brainstorm, discuss, prototype, diagram, propose, ADR, PR, GitOps — plus Review Bots and Workstation multi-agent teams.
The wise path for a new project: brainstorm, teammate discussion, prototypes, diagrams, proposals, ADRs, small PRs with Review Bots, and GitOps for production-grade quality.
Implement Amazon Bedrock, Bedrock AgentCore, SageMaker, and Amazon Q, then launch a first business agent in Microsoft Teams — with requirements, tooling, and time boxes.
Pair Kubeflow and Argo CD for MLOps on Kubernetes: train and register models in Kubeflow, promote InferenceServices with GitOps, roll back with git revert.